Scripts/2019_20_season/after_timeout_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "import requests\n",
    "import tqdm\n",
    "from time import sleep\n",
    "from PIL import Image\n",
    "from io import BytesIO\n",
    "from adjustText import adjust_text\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from nba_api.stats.static.players import find_players_by_full_name\n",
    "from nba_api.stats.static.teams import find_teams_by_full_name, get_teams, find_team_name_by_id\n",
    "from nba_api.stats.endpoints.playbyplayv2 import PlayByPlayV2\n",
    "from nba_api.stats.endpoints.leaguegamefinder import LeagueGameFinder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "teams = get_teams()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'id': 1610612737,\n",
       " 'full_name': 'Atlanta Hawks',\n",
       " 'abbreviation': 'ATL',\n",
       " 'nickname': 'Hawks',\n",
       " 'city': 'Atlanta',\n",
       " 'state': 'Atlanta',\n",
       " 'year_founded': 1949}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "teams[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "game_finder = LeagueGameFinder(league_id_nullable=\"00\", season_type_nullable=\"Regular Season\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "games = game_finder.get_data_frames()[0]\n",
    "#PlayByPlayV2(game_id=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "cur_season_games = games.loc[(games.TEAM_ABBREVIATION == \"LAL\") & (games.SEASON_ID == \"22019\")]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SEASON_ID</th>\n",
       "      <th>TEAM_ID</th>\n",
       "      <th>TEAM_ABBREVIATION</th>\n",
       "      <th>TEAM_NAME</th>\n",
       "      <th>GAME_ID</th>\n",
       "      <th>GAME_DATE</th>\n",
       "      <th>MATCHUP</th>\n",
       "      <th>WL</th>\n",
       "      <th>MIN</th>\n",
       "      <th>PTS</th>\n",
       "      <th>...</th>\n",
       "      <th>FT_PCT</th>\n",
       "      <th>OREB</th>\n",
       "      <th>DREB</th>\n",
       "      <th>REB</th>\n",
       "      <th>AST</th>\n",
       "      <th>STL</th>\n",
       "      <th>BLK</th>\n",
       "      <th>TOV</th>\n",
       "      <th>PF</th>\n",
       "      <th>PLUS_MINUS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900968</td>\n",
       "      <td>2020-03-10</td>\n",
       "      <td>LAL vs. BKN</td>\n",
       "      <td>L</td>\n",
       "      <td>241</td>\n",
       "      <td>102</td>\n",
       "      <td>...</td>\n",
       "      <td>0.583</td>\n",
       "      <td>8</td>\n",
       "      <td>38</td>\n",
       "      <td>46</td>\n",
       "      <td>24</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>14</td>\n",
       "      <td>22</td>\n",
       "      <td>-3.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900948</td>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>LAL @ LAC</td>\n",
       "      <td>W</td>\n",
       "      <td>241</td>\n",
       "      <td>112</td>\n",
       "      <td>...</td>\n",
       "      <td>0.857</td>\n",
       "      <td>9</td>\n",
       "      <td>36</td>\n",
       "      <td>45</td>\n",
       "      <td>22</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>12</td>\n",
       "      <td>28</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900939</td>\n",
       "      <td>2020-03-06</td>\n",
       "      <td>LAL vs. MIL</td>\n",
       "      <td>W</td>\n",
       "      <td>240</td>\n",
       "      <td>113</td>\n",
       "      <td>...</td>\n",
       "      <td>0.816</td>\n",
       "      <td>10</td>\n",
       "      <td>42</td>\n",
       "      <td>52</td>\n",
       "      <td>19</td>\n",
       "      <td>11</td>\n",
       "      <td>4</td>\n",
       "      <td>16</td>\n",
       "      <td>27</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900915</td>\n",
       "      <td>2020-03-03</td>\n",
       "      <td>LAL vs. PHI</td>\n",
       "      <td>W</td>\n",
       "      <td>240</td>\n",
       "      <td>120</td>\n",
       "      <td>...</td>\n",
       "      <td>0.833</td>\n",
       "      <td>10</td>\n",
       "      <td>33</td>\n",
       "      <td>43</td>\n",
       "      <td>25</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>13</td>\n",
       "      <td>18</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900900</td>\n",
       "      <td>2020-03-01</td>\n",
       "      <td>LAL @ NOP</td>\n",
       "      <td>W</td>\n",
       "      <td>240</td>\n",
       "      <td>122</td>\n",
       "      <td>...</td>\n",
       "      <td>0.900</td>\n",
       "      <td>6</td>\n",
       "      <td>30</td>\n",
       "      <td>36</td>\n",
       "      <td>23</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>26</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900891</td>\n",
       "      <td>2020-02-29</td>\n",
       "      <td>LAL @ MEM</td>\n",
       "      <td>L</td>\n",
       "      <td>241</td>\n",
       "      <td>88</td>\n",
       "      <td>...</td>\n",
       "      <td>0.583</td>\n",
       "      <td>13</td>\n",
       "      <td>32</td>\n",
       "      <td>45</td>\n",
       "      <td>26</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>14</td>\n",
       "      <td>13</td>\n",
       "      <td>-17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900876</td>\n",
       "      <td>2020-02-27</td>\n",
       "      <td>LAL @ GSW</td>\n",
       "      <td>W</td>\n",
       "      <td>241</td>\n",
       "      <td>116</td>\n",
       "      <td>...</td>\n",
       "      <td>0.667</td>\n",
       "      <td>8</td>\n",
       "      <td>36</td>\n",
       "      <td>44</td>\n",
       "      <td>24</td>\n",
       "      <td>13</td>\n",
       "      <td>5</td>\n",
       "      <td>16</td>\n",
       "      <td>17</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900861</td>\n",
       "      <td>2020-02-25</td>\n",
       "      <td>LAL vs. NOP</td>\n",
       "      <td>W</td>\n",
       "      <td>239</td>\n",
       "      <td>118</td>\n",
       "      <td>...</td>\n",
       "      <td>0.714</td>\n",
       "      <td>14</td>\n",
       "      <td>37</td>\n",
       "      <td>51</td>\n",
       "      <td>27</td>\n",
       "      <td>10</td>\n",
       "      <td>12</td>\n",
       "      <td>16</td>\n",
       "      <td>20</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900842</td>\n",
       "      <td>2020-02-23</td>\n",
       "      <td>LAL vs. BOS</td>\n",
       "      <td>W</td>\n",
       "      <td>239</td>\n",
       "      <td>114</td>\n",
       "      <td>...</td>\n",
       "      <td>0.676</td>\n",
       "      <td>11</td>\n",
       "      <td>35</td>\n",
       "      <td>46</td>\n",
       "      <td>20</td>\n",
       "      <td>9</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>22</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>288</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900833</td>\n",
       "      <td>2020-02-21</td>\n",
       "      <td>LAL vs. MEM</td>\n",
       "      <td>W</td>\n",
       "      <td>240</td>\n",
       "      <td>117</td>\n",
       "      <td>...</td>\n",
       "      <td>0.650</td>\n",
       "      <td>12</td>\n",
       "      <td>37</td>\n",
       "      <td>49</td>\n",
       "      <td>25</td>\n",
       "      <td>9</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>24</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900817</td>\n",
       "      <td>2020-02-12</td>\n",
       "      <td>LAL @ DEN</td>\n",
       "      <td>W</td>\n",
       "      <td>265</td>\n",
       "      <td>120</td>\n",
       "      <td>...</td>\n",
       "      <td>0.519</td>\n",
       "      <td>10</td>\n",
       "      <td>39</td>\n",
       "      <td>49</td>\n",
       "      <td>29</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>22</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>347</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900801</td>\n",
       "      <td>2020-02-10</td>\n",
       "      <td>LAL vs. PHX</td>\n",
       "      <td>W</td>\n",
       "      <td>241</td>\n",
       "      <td>125</td>\n",
       "      <td>...</td>\n",
       "      <td>0.680</td>\n",
       "      <td>16</td>\n",
       "      <td>43</td>\n",
       "      <td>59</td>\n",
       "      <td>28</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>16</td>\n",
       "      <td>22</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>385</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900783</td>\n",
       "      <td>2020-02-08</td>\n",
       "      <td>LAL @ GSW</td>\n",
       "      <td>W</td>\n",
       "      <td>240</td>\n",
       "      <td>125</td>\n",
       "      <td>...</td>\n",
       "      <td>0.735</td>\n",
       "      <td>12</td>\n",
       "      <td>35</td>\n",
       "      <td>47</td>\n",
       "      <td>29</td>\n",
       "      <td>11</td>\n",
       "      <td>2</td>\n",
       "      <td>24</td>\n",
       "      <td>22</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>410</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900768</td>\n",
       "      <td>2020-02-06</td>\n",
       "      <td>LAL vs. HOU</td>\n",
       "      <td>L</td>\n",
       "      <td>240</td>\n",
       "      <td>111</td>\n",
       "      <td>...</td>\n",
       "      <td>0.750</td>\n",
       "      <td>6</td>\n",
       "      <td>32</td>\n",
       "      <td>38</td>\n",
       "      <td>33</td>\n",
       "      <td>10</td>\n",
       "      <td>4</td>\n",
       "      <td>15</td>\n",
       "      <td>18</td>\n",
       "      <td>-10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>436</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900754</td>\n",
       "      <td>2020-02-04</td>\n",
       "      <td>LAL vs. SAS</td>\n",
       "      <td>W</td>\n",
       "      <td>239</td>\n",
       "      <td>129</td>\n",
       "      <td>...</td>\n",
       "      <td>0.680</td>\n",
       "      <td>12</td>\n",
       "      <td>46</td>\n",
       "      <td>58</td>\n",
       "      <td>28</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>14</td>\n",
       "      <td>15</td>\n",
       "      <td>27.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>490</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900736</td>\n",
       "      <td>2020-02-01</td>\n",
       "      <td>LAL @ SAC</td>\n",
       "      <td>W</td>\n",
       "      <td>240</td>\n",
       "      <td>129</td>\n",
       "      <td>...</td>\n",
       "      <td>0.815</td>\n",
       "      <td>11</td>\n",
       "      <td>35</td>\n",
       "      <td>46</td>\n",
       "      <td>33</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>14</td>\n",
       "      <td>22</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>496</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900726</td>\n",
       "      <td>2020-01-31</td>\n",
       "      <td>LAL vs. POR</td>\n",
       "      <td>L</td>\n",
       "      <td>239</td>\n",
       "      <td>119</td>\n",
       "      <td>...</td>\n",
       "      <td>0.643</td>\n",
       "      <td>19</td>\n",
       "      <td>43</td>\n",
       "      <td>62</td>\n",
       "      <td>28</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>18</td>\n",
       "      <td>21</td>\n",
       "      <td>-8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>574</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900684</td>\n",
       "      <td>2020-01-25</td>\n",
       "      <td>LAL @ PHI</td>\n",
       "      <td>L</td>\n",
       "      <td>241</td>\n",
       "      <td>91</td>\n",
       "      <td>...</td>\n",
       "      <td>0.652</td>\n",
       "      <td>6</td>\n",
       "      <td>29</td>\n",
       "      <td>35</td>\n",
       "      <td>23</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>21</td>\n",
       "      <td>18</td>\n",
       "      <td>-17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>606</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900667</td>\n",
       "      <td>2020-01-23</td>\n",
       "      <td>LAL @ BKN</td>\n",
       "      <td>W</td>\n",
       "      <td>240</td>\n",
       "      <td>128</td>\n",
       "      <td>...</td>\n",
       "      <td>0.750</td>\n",
       "      <td>11</td>\n",
       "      <td>41</td>\n",
       "      <td>52</td>\n",
       "      <td>28</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>628</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900659</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>LAL @ NYK</td>\n",
       "      <td>W</td>\n",
       "      <td>239</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>0.679</td>\n",
       "      <td>11</td>\n",
       "      <td>32</td>\n",
       "      <td>43</td>\n",
       "      <td>18</td>\n",
       "      <td>13</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>14</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>652</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900648</td>\n",
       "      <td>2020-01-20</td>\n",
       "      <td>LAL @ BOS</td>\n",
       "      <td>L</td>\n",
       "      <td>241</td>\n",
       "      <td>107</td>\n",
       "      <td>...</td>\n",
       "      <td>0.759</td>\n",
       "      <td>12</td>\n",
       "      <td>24</td>\n",
       "      <td>36</td>\n",
       "      <td>22</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>15</td>\n",
       "      <td>23</td>\n",
       "      <td>-32.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>689</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900633</td>\n",
       "      <td>2020-01-18</td>\n",
       "      <td>LAL @ HOU</td>\n",
       "      <td>W</td>\n",
       "      <td>240</td>\n",
       "      <td>124</td>\n",
       "      <td>...</td>\n",
       "      <td>0.719</td>\n",
       "      <td>15</td>\n",
       "      <td>34</td>\n",
       "      <td>49</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>9</td>\n",
       "      <td>17</td>\n",
       "      <td>27</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>729</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900613</td>\n",
       "      <td>2020-01-15</td>\n",
       "      <td>LAL vs. ORL</td>\n",
       "      <td>L</td>\n",
       "      <td>240</td>\n",
       "      <td>118</td>\n",
       "      <td>...</td>\n",
       "      <td>0.636</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>48</td>\n",
       "      <td>34</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>16</td>\n",
       "      <td>20</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>753</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900597</td>\n",
       "      <td>2020-01-13</td>\n",
       "      <td>LAL vs. CLE</td>\n",
       "      <td>W</td>\n",
       "      <td>240</td>\n",
       "      <td>128</td>\n",
       "      <td>...</td>\n",
       "      <td>0.750</td>\n",
       "      <td>11</td>\n",
       "      <td>34</td>\n",
       "      <td>45</td>\n",
       "      <td>33</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>25</td>\n",
       "      <td>29.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>777</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900580</td>\n",
       "      <td>2020-01-11</td>\n",
       "      <td>LAL @ OKC</td>\n",
       "      <td>W</td>\n",
       "      <td>239</td>\n",
       "      <td>125</td>\n",
       "      <td>...</td>\n",
       "      <td>0.800</td>\n",
       "      <td>12</td>\n",
       "      <td>42</td>\n",
       "      <td>54</td>\n",
       "      <td>21</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>17</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>797</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900572</td>\n",
       "      <td>2020-01-10</td>\n",
       "      <td>LAL @ DAL</td>\n",
       "      <td>W</td>\n",
       "      <td>238</td>\n",
       "      <td>129</td>\n",
       "      <td>...</td>\n",
       "      <td>0.781</td>\n",
       "      <td>12</td>\n",
       "      <td>37</td>\n",
       "      <td>49</td>\n",
       "      <td>18</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>27</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>838</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900553</td>\n",
       "      <td>2020-01-07</td>\n",
       "      <td>LAL vs. NYK</td>\n",
       "      <td>W</td>\n",
       "      <td>239</td>\n",
       "      <td>117</td>\n",
       "      <td>...</td>\n",
       "      <td>0.857</td>\n",
       "      <td>6</td>\n",
       "      <td>42</td>\n",
       "      <td>48</td>\n",
       "      <td>27</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>17</td>\n",
       "      <td>19</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>873</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900538</td>\n",
       "      <td>2020-01-05</td>\n",
       "      <td>LAL vs. DET</td>\n",
       "      <td>W</td>\n",
       "      <td>239</td>\n",
       "      <td>106</td>\n",
       "      <td>...</td>\n",
       "      <td>0.696</td>\n",
       "      <td>11</td>\n",
       "      <td>39</td>\n",
       "      <td>50</td>\n",
       "      <td>23</td>\n",
       "      <td>8</td>\n",
       "      <td>20</td>\n",
       "      <td>13</td>\n",
       "      <td>22</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>906</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900522</td>\n",
       "      <td>2020-01-03</td>\n",
       "      <td>LAL vs. NOP</td>\n",
       "      <td>W</td>\n",
       "      <td>239</td>\n",
       "      <td>123</td>\n",
       "      <td>...</td>\n",
       "      <td>0.821</td>\n",
       "      <td>8</td>\n",
       "      <td>39</td>\n",
       "      <td>47</td>\n",
       "      <td>29</td>\n",
       "      <td>9</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>14</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>934</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900507</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>LAL vs. PHX</td>\n",
       "      <td>W</td>\n",
       "      <td>239</td>\n",
       "      <td>117</td>\n",
       "      <td>...</td>\n",
       "      <td>0.706</td>\n",
       "      <td>13</td>\n",
       "      <td>32</td>\n",
       "      <td>45</td>\n",
       "      <td>25</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>17</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1063</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900443</td>\n",
       "      <td>2019-12-22</td>\n",
       "      <td>LAL vs. DEN</td>\n",
       "      <td>L</td>\n",
       "      <td>240</td>\n",
       "      <td>104</td>\n",
       "      <td>...</td>\n",
       "      <td>0.727</td>\n",
       "      <td>18</td>\n",
       "      <td>27</td>\n",
       "      <td>45</td>\n",
       "      <td>18</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>19</td>\n",
       "      <td>25</td>\n",
       "      <td>-24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1109</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900417</td>\n",
       "      <td>2019-12-19</td>\n",
       "      <td>LAL @ MIL</td>\n",
       "      <td>L</td>\n",
       "      <td>241</td>\n",
       "      <td>104</td>\n",
       "      <td>...</td>\n",
       "      <td>0.783</td>\n",
       "      <td>7</td>\n",
       "      <td>31</td>\n",
       "      <td>38</td>\n",
       "      <td>24</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>18</td>\n",
       "      <td>24</td>\n",
       "      <td>-7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1135</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900402</td>\n",
       "      <td>2019-12-17</td>\n",
       "      <td>LAL @ IND</td>\n",
       "      <td>L</td>\n",
       "      <td>240</td>\n",
       "      <td>102</td>\n",
       "      <td>...</td>\n",
       "      <td>0.471</td>\n",
       "      <td>14</td>\n",
       "      <td>28</td>\n",
       "      <td>42</td>\n",
       "      <td>28</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>13</td>\n",
       "      <td>19</td>\n",
       "      <td>-3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1158</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900390</td>\n",
       "      <td>2019-12-15</td>\n",
       "      <td>LAL @ ATL</td>\n",
       "      <td>W</td>\n",
       "      <td>240</td>\n",
       "      <td>101</td>\n",
       "      <td>...</td>\n",
       "      <td>0.727</td>\n",
       "      <td>13</td>\n",
       "      <td>43</td>\n",
       "      <td>56</td>\n",
       "      <td>21</td>\n",
       "      <td>14</td>\n",
       "      <td>9</td>\n",
       "      <td>22</td>\n",
       "      <td>24</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1201</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900374</td>\n",
       "      <td>2019-12-13</td>\n",
       "      <td>LAL @ MIA</td>\n",
       "      <td>W</td>\n",
       "      <td>240</td>\n",
       "      <td>113</td>\n",
       "      <td>...</td>\n",
       "      <td>0.652</td>\n",
       "      <td>14</td>\n",
       "      <td>36</td>\n",
       "      <td>50</td>\n",
       "      <td>26</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>19</td>\n",
       "      <td>23</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1224</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900358</td>\n",
       "      <td>2019-12-11</td>\n",
       "      <td>LAL @ ORL</td>\n",
       "      <td>W</td>\n",
       "      <td>240</td>\n",
       "      <td>96</td>\n",
       "      <td>...</td>\n",
       "      <td>0.526</td>\n",
       "      <td>12</td>\n",
       "      <td>37</td>\n",
       "      <td>49</td>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>17</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1271</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900342</td>\n",
       "      <td>2019-12-08</td>\n",
       "      <td>LAL vs. MIN</td>\n",
       "      <td>W</td>\n",
       "      <td>238</td>\n",
       "      <td>142</td>\n",
       "      <td>...</td>\n",
       "      <td>0.900</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>41</td>\n",
       "      <td>32</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>19</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1291</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900329</td>\n",
       "      <td>2019-12-06</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>W</td>\n",
       "      <td>240</td>\n",
       "      <td>136</td>\n",
       "      <td>...</td>\n",
       "      <td>0.818</td>\n",
       "      <td>3</td>\n",
       "      <td>42</td>\n",
       "      <td>45</td>\n",
       "      <td>26</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>16</td>\n",
       "      <td>23</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1316</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900314</td>\n",
       "      <td>2019-12-04</td>\n",
       "      <td>LAL @ UTA</td>\n",
       "      <td>W</td>\n",
       "      <td>241</td>\n",
       "      <td>121</td>\n",
       "      <td>...</td>\n",
       "      <td>0.600</td>\n",
       "      <td>8</td>\n",
       "      <td>38</td>\n",
       "      <td>46</td>\n",
       "      <td>27</td>\n",
       "      <td>13</td>\n",
       "      <td>12</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1345</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900304</td>\n",
       "      <td>2019-12-03</td>\n",
       "      <td>LAL @ DEN</td>\n",
       "      <td>W</td>\n",
       "      <td>240</td>\n",
       "      <td>105</td>\n",
       "      <td>...</td>\n",
       "      <td>0.667</td>\n",
       "      <td>14</td>\n",
       "      <td>42</td>\n",
       "      <td>56</td>\n",
       "      <td>24</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>16</td>\n",
       "      <td>23</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1375</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900287</td>\n",
       "      <td>2019-12-01</td>\n",
       "      <td>LAL vs. DAL</td>\n",
       "      <td>L</td>\n",
       "      <td>239</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>0.813</td>\n",
       "      <td>9</td>\n",
       "      <td>36</td>\n",
       "      <td>45</td>\n",
       "      <td>25</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>17</td>\n",
       "      <td>14</td>\n",
       "      <td>-14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1406</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900279</td>\n",
       "      <td>2019-11-29</td>\n",
       "      <td>LAL vs. WAS</td>\n",
       "      <td>W</td>\n",
       "      <td>240</td>\n",
       "      <td>125</td>\n",
       "      <td>...</td>\n",
       "      <td>0.750</td>\n",
       "      <td>7</td>\n",
       "      <td>40</td>\n",
       "      <td>47</td>\n",
       "      <td>29</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>18</td>\n",
       "      <td>20</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1411</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900264</td>\n",
       "      <td>2019-11-27</td>\n",
       "      <td>LAL @ NOP</td>\n",
       "      <td>W</td>\n",
       "      <td>240</td>\n",
       "      <td>114</td>\n",
       "      <td>...</td>\n",
       "      <td>0.720</td>\n",
       "      <td>7</td>\n",
       "      <td>30</td>\n",
       "      <td>37</td>\n",
       "      <td>25</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>15</td>\n",
       "      <td>24</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1458</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900249</td>\n",
       "      <td>2019-11-25</td>\n",
       "      <td>LAL @ SAS</td>\n",
       "      <td>W</td>\n",
       "      <td>240</td>\n",
       "      <td>114</td>\n",
       "      <td>...</td>\n",
       "      <td>0.667</td>\n",
       "      <td>10</td>\n",
       "      <td>30</td>\n",
       "      <td>40</td>\n",
       "      <td>28</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>18</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1479</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900232</td>\n",
       "      <td>2019-11-23</td>\n",
       "      <td>LAL @ MEM</td>\n",
       "      <td>W</td>\n",
       "      <td>241</td>\n",
       "      <td>109</td>\n",
       "      <td>...</td>\n",
       "      <td>0.690</td>\n",
       "      <td>11</td>\n",
       "      <td>29</td>\n",
       "      <td>40</td>\n",
       "      <td>19</td>\n",
       "      <td>12</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>14</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1499</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900220</td>\n",
       "      <td>2019-11-22</td>\n",
       "      <td>LAL @ OKC</td>\n",
       "      <td>W</td>\n",
       "      <td>241</td>\n",
       "      <td>130</td>\n",
       "      <td>...</td>\n",
       "      <td>0.793</td>\n",
       "      <td>11</td>\n",
       "      <td>34</td>\n",
       "      <td>45</td>\n",
       "      <td>32</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>15</td>\n",
       "      <td>20</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1541</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900201</td>\n",
       "      <td>2019-11-19</td>\n",
       "      <td>LAL vs. OKC</td>\n",
       "      <td>W</td>\n",
       "      <td>239</td>\n",
       "      <td>112</td>\n",
       "      <td>...</td>\n",
       "      <td>0.632</td>\n",
       "      <td>14</td>\n",
       "      <td>32</td>\n",
       "      <td>46</td>\n",
       "      <td>29</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>16</td>\n",
       "      <td>20</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1567</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900188</td>\n",
       "      <td>2019-11-17</td>\n",
       "      <td>LAL vs. ATL</td>\n",
       "      <td>W</td>\n",
       "      <td>240</td>\n",
       "      <td>122</td>\n",
       "      <td>...</td>\n",
       "      <td>0.813</td>\n",
       "      <td>10</td>\n",
       "      <td>32</td>\n",
       "      <td>42</td>\n",
       "      <td>26</td>\n",
       "      <td>10</td>\n",
       "      <td>14</td>\n",
       "      <td>16</td>\n",
       "      <td>19</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1597</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900174</td>\n",
       "      <td>2019-11-15</td>\n",
       "      <td>LAL vs. SAC</td>\n",
       "      <td>W</td>\n",
       "      <td>240</td>\n",
       "      <td>99</td>\n",
       "      <td>...</td>\n",
       "      <td>0.909</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>41</td>\n",
       "      <td>22</td>\n",
       "      <td>11</td>\n",
       "      <td>6</td>\n",
       "      <td>13</td>\n",
       "      <td>18</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1635</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900159</td>\n",
       "      <td>2019-11-13</td>\n",
       "      <td>LAL vs. GSW</td>\n",
       "      <td>W</td>\n",
       "      <td>240</td>\n",
       "      <td>120</td>\n",
       "      <td>...</td>\n",
       "      <td>0.833</td>\n",
       "      <td>13</td>\n",
       "      <td>38</td>\n",
       "      <td>51</td>\n",
       "      <td>31</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>19</td>\n",
       "      <td>18</td>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1640</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900151</td>\n",
       "      <td>2019-11-12</td>\n",
       "      <td>LAL @ PHX</td>\n",
       "      <td>W</td>\n",
       "      <td>240</td>\n",
       "      <td>123</td>\n",
       "      <td>...</td>\n",
       "      <td>0.524</td>\n",
       "      <td>8</td>\n",
       "      <td>36</td>\n",
       "      <td>44</td>\n",
       "      <td>39</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1665</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900139</td>\n",
       "      <td>2019-11-10</td>\n",
       "      <td>LAL vs. TOR</td>\n",
       "      <td>L</td>\n",
       "      <td>238</td>\n",
       "      <td>104</td>\n",
       "      <td>...</td>\n",
       "      <td>0.632</td>\n",
       "      <td>13</td>\n",
       "      <td>38</td>\n",
       "      <td>51</td>\n",
       "      <td>31</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>12</td>\n",
       "      <td>20</td>\n",
       "      <td>-9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1711</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900126</td>\n",
       "      <td>2019-11-08</td>\n",
       "      <td>LAL vs. MIA</td>\n",
       "      <td>W</td>\n",
       "      <td>240</td>\n",
       "      <td>95</td>\n",
       "      <td>...</td>\n",
       "      <td>0.875</td>\n",
       "      <td>10</td>\n",
       "      <td>38</td>\n",
       "      <td>48</td>\n",
       "      <td>30</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>18</td>\n",
       "      <td>24</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1742</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900100</td>\n",
       "      <td>2019-11-05</td>\n",
       "      <td>LAL @ CHI</td>\n",
       "      <td>W</td>\n",
       "      <td>240</td>\n",
       "      <td>118</td>\n",
       "      <td>...</td>\n",
       "      <td>0.708</td>\n",
       "      <td>12</td>\n",
       "      <td>37</td>\n",
       "      <td>49</td>\n",
       "      <td>26</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>15</td>\n",
       "      <td>18</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1772</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900088</td>\n",
       "      <td>2019-11-03</td>\n",
       "      <td>LAL @ SAS</td>\n",
       "      <td>W</td>\n",
       "      <td>239</td>\n",
       "      <td>103</td>\n",
       "      <td>...</td>\n",
       "      <td>0.684</td>\n",
       "      <td>7</td>\n",
       "      <td>39</td>\n",
       "      <td>46</td>\n",
       "      <td>21</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>18</td>\n",
       "      <td>22</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1803</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900074</td>\n",
       "      <td>2019-11-01</td>\n",
       "      <td>LAL @ DAL</td>\n",
       "      <td>W</td>\n",
       "      <td>267</td>\n",
       "      <td>119</td>\n",
       "      <td>...</td>\n",
       "      <td>0.762</td>\n",
       "      <td>6</td>\n",
       "      <td>35</td>\n",
       "      <td>41</td>\n",
       "      <td>24</td>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>11</td>\n",
       "      <td>21</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1836</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900054</td>\n",
       "      <td>2019-10-29</td>\n",
       "      <td>LAL vs. MEM</td>\n",
       "      <td>W</td>\n",
       "      <td>241</td>\n",
       "      <td>120</td>\n",
       "      <td>...</td>\n",
       "      <td>0.846</td>\n",
       "      <td>10</td>\n",
       "      <td>44</td>\n",
       "      <td>54</td>\n",
       "      <td>25</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>18</td>\n",
       "      <td>19</td>\n",
       "      <td>29.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1866</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900040</td>\n",
       "      <td>2019-10-27</td>\n",
       "      <td>LAL vs. CHA</td>\n",
       "      <td>W</td>\n",
       "      <td>239</td>\n",
       "      <td>120</td>\n",
       "      <td>...</td>\n",
       "      <td>0.786</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>47</td>\n",
       "      <td>30</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>13</td>\n",
       "      <td>22</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1907</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900025</td>\n",
       "      <td>2019-10-25</td>\n",
       "      <td>LAL vs. UTA</td>\n",
       "      <td>W</td>\n",
       "      <td>239</td>\n",
       "      <td>95</td>\n",
       "      <td>...</td>\n",
       "      <td>0.792</td>\n",
       "      <td>11</td>\n",
       "      <td>31</td>\n",
       "      <td>42</td>\n",
       "      <td>19</td>\n",
       "      <td>14</td>\n",
       "      <td>9</td>\n",
       "      <td>14</td>\n",
       "      <td>21</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1938</th>\n",
       "      <td>22019</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>0021900002</td>\n",
       "      <td>2019-10-22</td>\n",
       "      <td>LAL @ LAC</td>\n",
       "      <td>L</td>\n",
       "      <td>238</td>\n",
       "      <td>102</td>\n",
       "      <td>...</td>\n",
       "      <td>0.714</td>\n",
       "      <td>9</td>\n",
       "      <td>32</td>\n",
       "      <td>41</td>\n",
       "      <td>20</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>24</td>\n",
       "      <td>-10.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>63 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     SEASON_ID     TEAM_ID TEAM_ABBREVIATION           TEAM_NAME     GAME_ID  \\\n",
       "19       22019  1610612747               LAL  Los Angeles Lakers  0021900968   \n",
       "44       22019  1610612747               LAL  Los Angeles Lakers  0021900948   \n",
       "81       22019  1610612747               LAL  Los Angeles Lakers  0021900939   \n",
       "119      22019  1610612747               LAL  Los Angeles Lakers  0021900915   \n",
       "150      22019  1610612747               LAL  Los Angeles Lakers  0021900900   \n",
       "...        ...         ...               ...                 ...         ...   \n",
       "1803     22019  1610612747               LAL  Los Angeles Lakers  0021900074   \n",
       "1836     22019  1610612747               LAL  Los Angeles Lakers  0021900054   \n",
       "1866     22019  1610612747               LAL  Los Angeles Lakers  0021900040   \n",
       "1907     22019  1610612747               LAL  Los Angeles Lakers  0021900025   \n",
       "1938     22019  1610612747               LAL  Los Angeles Lakers  0021900002   \n",
       "\n",
       "       GAME_DATE      MATCHUP WL  MIN  PTS  ...  FT_PCT  OREB  DREB  REB  AST  \\\n",
       "19    2020-03-10  LAL vs. BKN  L  241  102  ...   0.583     8    38   46   24   \n",
       "44    2020-03-08    LAL @ LAC  W  241  112  ...   0.857     9    36   45   22   \n",
       "81    2020-03-06  LAL vs. MIL  W  240  113  ...   0.816    10    42   52   19   \n",
       "119   2020-03-03  LAL vs. PHI  W  240  120  ...   0.833    10    33   43   25   \n",
       "150   2020-03-01    LAL @ NOP  W  240  122  ...   0.900     6    30   36   23   \n",
       "...          ...          ... ..  ...  ...  ...     ...   ...   ...  ...  ...   \n",
       "1803  2019-11-01    LAL @ DAL  W  267  119  ...   0.762     6    35   41   24   \n",
       "1836  2019-10-29  LAL vs. MEM  W  241  120  ...   0.846    10    44   54   25   \n",
       "1866  2019-10-27  LAL vs. CHA  W  239  120  ...   0.786    10    37   47   30   \n",
       "1907  2019-10-25  LAL vs. UTA  W  239   95  ...   0.792    11    31   42   19   \n",
       "1938  2019-10-22    LAL @ LAC  L  238  102  ...   0.714     9    32   41   20   \n",
       "\n",
       "      STL  BLK  TOV  PF  PLUS_MINUS  \n",
       "19      7    4   14  22        -3.2  \n",
       "44      8    7   12  28         9.0  \n",
       "81     11    4   16  27        10.0  \n",
       "119     9    6   13  18        13.0  \n",
       "150     9   10   13  26         8.0  \n",
       "...   ...  ...  ...  ..         ...  \n",
       "1803   11    7   11  21         9.0  \n",
       "1836    9    8   18  19        29.0  \n",
       "1866    7    8   13  22        19.0  \n",
       "1907   14    9   14  21         9.0  \n",
       "1938    4    7   14  24       -10.0  \n",
       "\n",
       "[63 rows x 28 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cur_season_games"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "import time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 63/63 [01:25<00:00,  1.36s/it]\n"
     ]
    }
   ],
   "source": [
    "play_by_plays = []\n",
    "for game_id in tqdm.tqdm(cur_season_games.GAME_ID.unique()):\n",
    "    pbp = PlayByPlayV2(game_id=game_id)\n",
    "    play_by_plays.append(pbp)\n",
    "    time.sleep(0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "concated = pd.concat([pbp.get_data_frames()[0] for pbp in play_by_plays], ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "concated.to_csv('lal_pbp.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "pbp = PlayByPlayV2(game_id=\"0021900968\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "pbp_df = pbp.get_data_frames()[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'id': 1610612737,\n",
       " 'full_name': 'Atlanta Hawks',\n",
       " 'abbreviation': 'ATL',\n",
       " 'nickname': 'Hawks',\n",
       " 'city': 'Atlanta',\n",
       " 'state': 'Atlanta',\n",
       " 'year_founded': 1949}"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "teams[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Fetching games by Atlanta Hawks: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 67/67 [01:28<00:00,  1.32s/it]\n",
      "Fetching games by Boston Celtics: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 64/64 [01:21<00:00,  1.28s/it]\n",
      "Fetching games by Cleveland Cavaliers: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 65/65 [01:23<00:00,  1.28s/it]\n",
      "Fetching games by New Orleans Pelicans: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 64/64 [01:18<00:00,  1.23s/it]\n",
      "Fetching games by Chicago Bulls: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 65/65 [01:15<00:00,  1.17s/it]\n",
      "Fetching games by Dallas Mavericks: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 67/67 [01:20<00:00,  1.21s/it]\n",
      "Fetching games by Denver Nuggets: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 65/65 [01:20<00:00,  1.24s/it]\n",
      "Fetching games by Golden State Warriors: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 65/65 [01:21<00:00,  1.25s/it]\n",
      "Fetching games by Houston Rockets: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 64/64 [01:18<00:00,  1.23s/it]\n",
      "Fetching games by Los Angeles Clippers: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 64/64 [01:22<00:00,  1.29s/it]\n",
      "Fetching games by Los Angeles Lakers: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 63/63 [01:15<00:00,  1.21s/it]\n",
      "Fetching games by Miami Heat: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 65/65 [01:16<00:00,  1.18s/it]\n",
      "Fetching games by Milwaukee Bucks: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 65/65 [01:20<00:00,  1.24s/it]\n",
      "Fetching games by Minnesota Timberwolves: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 64/64 [01:24<00:00,  1.33s/it]\n",
      "Fetching games by Brooklyn Nets: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 64/64 [01:28<00:00,  1.38s/it]\n",
      "Fetching games by New York Knicks: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 66/66 [01:25<00:00,  1.30s/it]\n",
      "Fetching games by Orlando Magic: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 65/65 [01:20<00:00,  1.23s/it]\n",
      "Fetching games by Indiana Pacers: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 65/65 [01:20<00:00,  1.23s/it]\n",
      "Fetching games by Philadelphia 76ers: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 65/65 [01:18<00:00,  1.20s/it]\n",
      "Fetching games by Phoenix Suns: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 65/65 [01:21<00:00,  1.25s/it]\n",
      "Fetching games by Portland Trail Blazers: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 66/66 [01:20<00:00,  1.22s/it]\n",
      "Fetching games by Sacramento Kings: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 64/64 [01:14<00:00,  1.16s/it]\n",
      "Fetching games by San Antonio Spurs: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 63/63 [01:19<00:00,  1.25s/it]\n",
      "Fetching games by Oklahoma City Thunder: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 64/64 [01:14<00:00,  1.16s/it]\n",
      "Fetching games by Toronto Raptors: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 64/64 [01:15<00:00,  1.17s/it]\n",
      "Fetching games by Utah Jazz: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 64/64 [01:15<00:00,  1.18s/it]\n",
      "Fetching games by Memphis Grizzlies: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 65/65 [01:17<00:00,  1.20s/it]\n",
      "Fetching games by Washington Wizards: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 64/64 [01:14<00:00,  1.17s/it]\n",
      "Fetching games by Detroit Pistons: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 66/66 [01:18<00:00,  1.19s/it]\n",
      "Fetching games by Charlotte Hornets: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 65/65 [01:20<00:00,  1.24s/it]\n"
     ]
    }
   ],
   "source": [
    "all_data_frames = []\n",
    "for team in teams:\n",
    "    cur_season_games = games.loc[(games.TEAM_ID == team['id']) & (games.SEASON_ID == \"22019\")]\n",
    "    for game_id in tqdm.tqdm(cur_season_games.GAME_ID.unique(), desc=f\"Fetching games by {team['full_name']}\"):\n",
    "        pbp = PlayByPlayV2(game_id=game_id)\n",
    "        all_data_frames.append(pbp.get_data_frames()[0])\n",
    "        time.sleep(0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "concated = pd.concat(all_data_frames, ignore_index=True)\n",
    "concated.to_csv('play_by_plays/all_pbps.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>4382.0</td>\n",
       "      <td>113724369126</td>\n",
       "      <td>1.504312e+12</td>\n",
       "      <td>1498</td>\n",
       "      <td>317339252</td>\n",
       "      <td>5.443871e+11</td>\n",
       "      <td>290</td>\n",
       "      <td>37852200</td>\n",
       "      <td>5.153961e+10</td>\n",
       "      <td>830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900013</th>\n",
       "      <td>346428</td>\n",
       "      <td>4014</td>\n",
       "      <td>17714</td>\n",
       "      <td>2494</td>\n",
       "      <td>4212.0</td>\n",
       "      <td>84346686036</td>\n",
       "      <td>1.462436e+12</td>\n",
       "      <td>1452</td>\n",
       "      <td>204222452</td>\n",
       "      <td>5.121749e+11</td>\n",
       "      <td>222</td>\n",
       "      <td>12195448</td>\n",
       "      <td>2.899103e+10</td>\n",
       "      <td>806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900014</th>\n",
       "      <td>312882</td>\n",
       "      <td>3726</td>\n",
       "      <td>11678</td>\n",
       "      <td>2388</td>\n",
       "      <td>3948.0</td>\n",
       "      <td>90962509066</td>\n",
       "      <td>1.365800e+12</td>\n",
       "      <td>1444</td>\n",
       "      <td>308170740</td>\n",
       "      <td>5.089536e+11</td>\n",
       "      <td>186</td>\n",
       "      <td>3239134830</td>\n",
       "      <td>2.899103e+10</td>\n",
       "      <td>680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900015</th>\n",
       "      <td>426206</td>\n",
       "      <td>4310</td>\n",
       "      <td>15874</td>\n",
       "      <td>2682</td>\n",
       "      <td>4566.0</td>\n",
       "      <td>100158118094</td>\n",
       "      <td>1.581622e+12</td>\n",
       "      <td>1628</td>\n",
       "      <td>113800228</td>\n",
       "      <td>5.765994e+11</td>\n",
       "      <td>308</td>\n",
       "      <td>13183078</td>\n",
       "      <td>6.120328e+10</td>\n",
       "      <td>850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900016</th>\n",
       "      <td>350652</td>\n",
       "      <td>3778</td>\n",
       "      <td>12698</td>\n",
       "      <td>2388</td>\n",
       "      <td>4130.0</td>\n",
       "      <td>100699087694</td>\n",
       "      <td>1.430224e+12</td>\n",
       "      <td>1496</td>\n",
       "      <td>320387382</td>\n",
       "      <td>5.347234e+11</td>\n",
       "      <td>198</td>\n",
       "      <td>13839504</td>\n",
       "      <td>1.932735e+10</td>\n",
       "      <td>760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900017</th>\n",
       "      <td>336210</td>\n",
       "      <td>3910</td>\n",
       "      <td>17680</td>\n",
       "      <td>2392</td>\n",
       "      <td>4160.0</td>\n",
       "      <td>81486236964</td>\n",
       "      <td>1.455994e+12</td>\n",
       "      <td>1330</td>\n",
       "      <td>300219868</td>\n",
       "      <td>4.831838e+11</td>\n",
       "      <td>292</td>\n",
       "      <td>29286688</td>\n",
       "      <td>5.153961e+10</td>\n",
       "      <td>822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900018</th>\n",
       "      <td>392178</td>\n",
       "      <td>4152</td>\n",
       "      <td>10964</td>\n",
       "      <td>2510</td>\n",
       "      <td>4398.0</td>\n",
       "      <td>107406751442</td>\n",
       "      <td>1.513976e+12</td>\n",
       "      <td>1642</td>\n",
       "      <td>417526786</td>\n",
       "      <td>5.830418e+11</td>\n",
       "      <td>252</td>\n",
       "      <td>27667812</td>\n",
       "      <td>3.865471e+10</td>\n",
       "      <td>832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900019</th>\n",
       "      <td>391096</td>\n",
       "      <td>4458</td>\n",
       "      <td>17850</td>\n",
       "      <td>2590</td>\n",
       "      <td>4434.0</td>\n",
       "      <td>113588672256</td>\n",
       "      <td>1.530082e+12</td>\n",
       "      <td>1578</td>\n",
       "      <td>334169082</td>\n",
       "      <td>5.701569e+11</td>\n",
       "      <td>276</td>\n",
       "      <td>18320518</td>\n",
       "      <td>3.221226e+10</td>\n",
       "      <td>852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900020</th>\n",
       "      <td>364278</td>\n",
       "      <td>4010</td>\n",
       "      <td>18970</td>\n",
       "      <td>2582</td>\n",
       "      <td>4316.0</td>\n",
       "      <td>104097067716</td>\n",
       "      <td>1.491427e+12</td>\n",
       "      <td>1432</td>\n",
       "      <td>344004966</td>\n",
       "      <td>5.121749e+11</td>\n",
       "      <td>242</td>\n",
       "      <td>34203244</td>\n",
       "      <td>4.509716e+10</td>\n",
       "      <td>824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900021</th>\n",
       "      <td>336200</td>\n",
       "      <td>3740</td>\n",
       "      <td>13968</td>\n",
       "      <td>2500</td>\n",
       "      <td>4136.0</td>\n",
       "      <td>94499412510</td>\n",
       "      <td>1.430224e+12</td>\n",
       "      <td>1400</td>\n",
       "      <td>385030474</td>\n",
       "      <td>4.992899e+11</td>\n",
       "      <td>224</td>\n",
       "      <td>21982918</td>\n",
       "      <td>3.865471e+10</td>\n",
       "      <td>804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900022</th>\n",
       "      <td>310756</td>\n",
       "      <td>3732</td>\n",
       "      <td>16292</td>\n",
       "      <td>2360</td>\n",
       "      <td>4046.0</td>\n",
       "      <td>107149668336</td>\n",
       "      <td>1.391569e+12</td>\n",
       "      <td>1260</td>\n",
       "      <td>263186008</td>\n",
       "      <td>4.509716e+11</td>\n",
       "      <td>240</td>\n",
       "      <td>33997878</td>\n",
       "      <td>4.509716e+10</td>\n",
       "      <td>780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900023</th>\n",
       "      <td>423626</td>\n",
       "      <td>4562</td>\n",
       "      <td>18954</td>\n",
       "      <td>3112</td>\n",
       "      <td>4692.0</td>\n",
       "      <td>110408833756</td>\n",
       "      <td>1.613834e+12</td>\n",
       "      <td>1636</td>\n",
       "      <td>312797514</td>\n",
       "      <td>5.830418e+11</td>\n",
       "      <td>288</td>\n",
       "      <td>23190536</td>\n",
       "      <td>4.831838e+10</td>\n",
       "      <td>886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900024</th>\n",
       "      <td>315180</td>\n",
       "      <td>3812</td>\n",
       "      <td>12834</td>\n",
       "      <td>2406</td>\n",
       "      <td>4010.0</td>\n",
       "      <td>74742829626</td>\n",
       "      <td>1.401233e+12</td>\n",
       "      <td>1400</td>\n",
       "      <td>242950508</td>\n",
       "      <td>4.992900e+11</td>\n",
       "      <td>212</td>\n",
       "      <td>11789964</td>\n",
       "      <td>2.576980e+10</td>\n",
       "      <td>768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900025</th>\n",
       "      <td>311674</td>\n",
       "      <td>3866</td>\n",
       "      <td>16052</td>\n",
       "      <td>2308</td>\n",
       "      <td>3920.0</td>\n",
       "      <td>87474665512</td>\n",
       "      <td>1.359357e+12</td>\n",
       "      <td>1444</td>\n",
       "      <td>189653708</td>\n",
       "      <td>5.186173e+11</td>\n",
       "      <td>242</td>\n",
       "      <td>10179304</td>\n",
       "      <td>4.187593e+10</td>\n",
       "      <td>724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900026</th>\n",
       "      <td>562104</td>\n",
       "      <td>5290</td>\n",
       "      <td>15878</td>\n",
       "      <td>3602</td>\n",
       "      <td>5194.0</td>\n",
       "      <td>158592120272</td>\n",
       "      <td>1.768453e+12</td>\n",
       "      <td>1942</td>\n",
       "      <td>298326476</td>\n",
       "      <td>6.957847e+11</td>\n",
       "      <td>258</td>\n",
       "      <td>12207682</td>\n",
       "      <td>2.899103e+10</td>\n",
       "      <td>944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900027</th>\n",
       "      <td>388636</td>\n",
       "      <td>4200</td>\n",
       "      <td>15256</td>\n",
       "      <td>2528</td>\n",
       "      <td>4318.0</td>\n",
       "      <td>142382969640</td>\n",
       "      <td>1.465658e+12</td>\n",
       "      <td>1650</td>\n",
       "      <td>295702400</td>\n",
       "      <td>5.830418e+11</td>\n",
       "      <td>254</td>\n",
       "      <td>13011092</td>\n",
       "      <td>3.543348e+10</td>\n",
       "      <td>816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900028</th>\n",
       "      <td>379088</td>\n",
       "      <td>4174</td>\n",
       "      <td>17144</td>\n",
       "      <td>2638</td>\n",
       "      <td>4294.0</td>\n",
       "      <td>97474506344</td>\n",
       "      <td>1.488206e+12</td>\n",
       "      <td>1452</td>\n",
       "      <td>283330358</td>\n",
       "      <td>5.218385e+11</td>\n",
       "      <td>272</td>\n",
       "      <td>47229174</td>\n",
       "      <td>5.798206e+10</td>\n",
       "      <td>786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900029</th>\n",
       "      <td>418080</td>\n",
       "      <td>4310</td>\n",
       "      <td>16130</td>\n",
       "      <td>2642</td>\n",
       "      <td>4560.0</td>\n",
       "      <td>97725754000</td>\n",
       "      <td>1.581622e+12</td>\n",
       "      <td>1566</td>\n",
       "      <td>380267724</td>\n",
       "      <td>5.508296e+11</td>\n",
       "      <td>282</td>\n",
       "      <td>37052738</td>\n",
       "      <td>4.509716e+10</td>\n",
       "      <td>852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900030</th>\n",
       "      <td>309904</td>\n",
       "      <td>3688</td>\n",
       "      <td>14786</td>\n",
       "      <td>2214</td>\n",
       "      <td>3908.0</td>\n",
       "      <td>103890577606</td>\n",
       "      <td>1.349693e+12</td>\n",
       "      <td>1378</td>\n",
       "      <td>299513088</td>\n",
       "      <td>4.992900e+11</td>\n",
       "      <td>236</td>\n",
       "      <td>18718220</td>\n",
       "      <td>3.543348e+10</td>\n",
       "      <td>748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900943</th>\n",
       "      <td>390012</td>\n",
       "      <td>4242</td>\n",
       "      <td>21558</td>\n",
       "      <td>2684</td>\n",
       "      <td>4548.0</td>\n",
       "      <td>97805690402</td>\n",
       "      <td>1.578400e+12</td>\n",
       "      <td>1594</td>\n",
       "      <td>434802638</td>\n",
       "      <td>5.701569e+11</td>\n",
       "      <td>204</td>\n",
       "      <td>18310936</td>\n",
       "      <td>3.221226e+10</td>\n",
       "      <td>854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900944</th>\n",
       "      <td>287850</td>\n",
       "      <td>3492</td>\n",
       "      <td>17588</td>\n",
       "      <td>2208</td>\n",
       "      <td>3768.0</td>\n",
       "      <td>81313719576</td>\n",
       "      <td>1.304596e+12</td>\n",
       "      <td>1448</td>\n",
       "      <td>319517312</td>\n",
       "      <td>5.218385e+11</td>\n",
       "      <td>158</td>\n",
       "      <td>8135218</td>\n",
       "      <td>1.932735e+10</td>\n",
       "      <td>672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900945</th>\n",
       "      <td>312590</td>\n",
       "      <td>3694</td>\n",
       "      <td>18834</td>\n",
       "      <td>2290</td>\n",
       "      <td>4024.0</td>\n",
       "      <td>84425824100</td>\n",
       "      <td>1.388348e+12</td>\n",
       "      <td>1488</td>\n",
       "      <td>249920166</td>\n",
       "      <td>5.282810e+11</td>\n",
       "      <td>184</td>\n",
       "      <td>9346334</td>\n",
       "      <td>2.899103e+10</td>\n",
       "      <td>766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900946</th>\n",
       "      <td>375042</td>\n",
       "      <td>4344</td>\n",
       "      <td>18082</td>\n",
       "      <td>2708</td>\n",
       "      <td>4300.0</td>\n",
       "      <td>100800924232</td>\n",
       "      <td>1.488206e+12</td>\n",
       "      <td>1656</td>\n",
       "      <td>398871830</td>\n",
       "      <td>5.862630e+11</td>\n",
       "      <td>236</td>\n",
       "      <td>17904080</td>\n",
       "      <td>2.899103e+10</td>\n",
       "      <td>804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900947</th>\n",
       "      <td>398024</td>\n",
       "      <td>4176</td>\n",
       "      <td>15384</td>\n",
       "      <td>2594</td>\n",
       "      <td>4528.0</td>\n",
       "      <td>110800889506</td>\n",
       "      <td>1.555852e+12</td>\n",
       "      <td>1504</td>\n",
       "      <td>446901402</td>\n",
       "      <td>5.379447e+11</td>\n",
       "      <td>232</td>\n",
       "      <td>15455290</td>\n",
       "      <td>3.221225e+10</td>\n",
       "      <td>876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900948</th>\n",
       "      <td>368280</td>\n",
       "      <td>4208</td>\n",
       "      <td>17384</td>\n",
       "      <td>2590</td>\n",
       "      <td>4402.0</td>\n",
       "      <td>106736074204</td>\n",
       "      <td>1.523640e+12</td>\n",
       "      <td>1424</td>\n",
       "      <td>142948408</td>\n",
       "      <td>5.057324e+11</td>\n",
       "      <td>274</td>\n",
       "      <td>18314654</td>\n",
       "      <td>4.187593e+10</td>\n",
       "      <td>826</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900949</th>\n",
       "      <td>342444</td>\n",
       "      <td>3918</td>\n",
       "      <td>16336</td>\n",
       "      <td>2478</td>\n",
       "      <td>4112.0</td>\n",
       "      <td>126245997424</td>\n",
       "      <td>1.401233e+12</td>\n",
       "      <td>1350</td>\n",
       "      <td>188425422</td>\n",
       "      <td>4.831838e+11</td>\n",
       "      <td>250</td>\n",
       "      <td>27677044</td>\n",
       "      <td>4.187593e+10</td>\n",
       "      <td>788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900950</th>\n",
       "      <td>340394</td>\n",
       "      <td>3858</td>\n",
       "      <td>16762</td>\n",
       "      <td>2474</td>\n",
       "      <td>4144.0</td>\n",
       "      <td>71501851070</td>\n",
       "      <td>1.443109e+12</td>\n",
       "      <td>1570</td>\n",
       "      <td>256023054</td>\n",
       "      <td>5.604932e+11</td>\n",
       "      <td>216</td>\n",
       "      <td>14840476</td>\n",
       "      <td>2.899103e+10</td>\n",
       "      <td>796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900951</th>\n",
       "      <td>299594</td>\n",
       "      <td>3872</td>\n",
       "      <td>12408</td>\n",
       "      <td>2224</td>\n",
       "      <td>3836.0</td>\n",
       "      <td>107104940648</td>\n",
       "      <td>1.307818e+12</td>\n",
       "      <td>1420</td>\n",
       "      <td>294798882</td>\n",
       "      <td>5.089536e+11</td>\n",
       "      <td>280</td>\n",
       "      <td>3242406968</td>\n",
       "      <td>3.865471e+10</td>\n",
       "      <td>724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900952</th>\n",
       "      <td>301602</td>\n",
       "      <td>3602</td>\n",
       "      <td>20710</td>\n",
       "      <td>2294</td>\n",
       "      <td>3944.0</td>\n",
       "      <td>103874413844</td>\n",
       "      <td>1.356136e+12</td>\n",
       "      <td>1264</td>\n",
       "      <td>299528394</td>\n",
       "      <td>4.541928e+11</td>\n",
       "      <td>226</td>\n",
       "      <td>22373826</td>\n",
       "      <td>4.187593e+10</td>\n",
       "      <td>750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900953</th>\n",
       "      <td>335634</td>\n",
       "      <td>3816</td>\n",
       "      <td>18694</td>\n",
       "      <td>2436</td>\n",
       "      <td>4218.0</td>\n",
       "      <td>106715782192</td>\n",
       "      <td>1.443109e+12</td>\n",
       "      <td>1372</td>\n",
       "      <td>146738408</td>\n",
       "      <td>4.864051e+11</td>\n",
       "      <td>226</td>\n",
       "      <td>4885256</td>\n",
       "      <td>3.865471e+10</td>\n",
       "      <td>810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900954</th>\n",
       "      <td>479184</td>\n",
       "      <td>4764</td>\n",
       "      <td>18488</td>\n",
       "      <td>3208</td>\n",
       "      <td>4926.0</td>\n",
       "      <td>104089786872</td>\n",
       "      <td>1.713692e+12</td>\n",
       "      <td>1698</td>\n",
       "      <td>381121978</td>\n",
       "      <td>6.055904e+11</td>\n",
       "      <td>272</td>\n",
       "      <td>28471086</td>\n",
       "      <td>4.509716e+10</td>\n",
       "      <td>948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900955</th>\n",
       "      <td>284362</td>\n",
       "      <td>3526</td>\n",
       "      <td>12254</td>\n",
       "      <td>2202</td>\n",
       "      <td>3742.0</td>\n",
       "      <td>129625286562</td>\n",
       "      <td>1.272384e+12</td>\n",
       "      <td>1196</td>\n",
       "      <td>264589136</td>\n",
       "      <td>4.252018e+11</td>\n",
       "      <td>174</td>\n",
       "      <td>23617588</td>\n",
       "      <td>2.899103e+10</td>\n",
       "      <td>714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900956</th>\n",
       "      <td>309320</td>\n",
       "      <td>3700</td>\n",
       "      <td>13748</td>\n",
       "      <td>2378</td>\n",
       "      <td>3918.0</td>\n",
       "      <td>90944265758</td>\n",
       "      <td>1.362578e+12</td>\n",
       "      <td>1420</td>\n",
       "      <td>263440848</td>\n",
       "      <td>5.089536e+11</td>\n",
       "      <td>214</td>\n",
       "      <td>16257518</td>\n",
       "      <td>3.865471e+10</td>\n",
       "      <td>756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900957</th>\n",
       "      <td>443596</td>\n",
       "      <td>4630</td>\n",
       "      <td>14672</td>\n",
       "      <td>3364</td>\n",
       "      <td>4526.0</td>\n",
       "      <td>152687033958</td>\n",
       "      <td>1.549409e+12</td>\n",
       "      <td>1776</td>\n",
       "      <td>508109618</td>\n",
       "      <td>6.313602e+11</td>\n",
       "      <td>258</td>\n",
       "      <td>31339854</td>\n",
       "      <td>4.509716e+10</td>\n",
       "      <td>832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900958</th>\n",
       "      <td>340368</td>\n",
       "      <td>3838</td>\n",
       "      <td>16640</td>\n",
       "      <td>2426</td>\n",
       "      <td>4096.0</td>\n",
       "      <td>106907524278</td>\n",
       "      <td>1.401233e+12</td>\n",
       "      <td>1502</td>\n",
       "      <td>243991022</td>\n",
       "      <td>5.347234e+11</td>\n",
       "      <td>210</td>\n",
       "      <td>19128304</td>\n",
       "      <td>4.187593e+10</td>\n",
       "      <td>762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900959</th>\n",
       "      <td>283004</td>\n",
       "      <td>3616</td>\n",
       "      <td>15242</td>\n",
       "      <td>2300</td>\n",
       "      <td>3778.0</td>\n",
       "      <td>103836863330</td>\n",
       "      <td>1.288490e+12</td>\n",
       "      <td>1326</td>\n",
       "      <td>270841870</td>\n",
       "      <td>4.767414e+11</td>\n",
       "      <td>164</td>\n",
       "      <td>17088972</td>\n",
       "      <td>2.254858e+10</td>\n",
       "      <td>714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900960</th>\n",
       "      <td>290624</td>\n",
       "      <td>3528</td>\n",
       "      <td>19702</td>\n",
       "      <td>2326</td>\n",
       "      <td>3890.0</td>\n",
       "      <td>94139489568</td>\n",
       "      <td>1.333587e+12</td>\n",
       "      <td>1266</td>\n",
       "      <td>233589612</td>\n",
       "      <td>4.509716e+11</td>\n",
       "      <td>208</td>\n",
       "      <td>25215228</td>\n",
       "      <td>4.187593e+10</td>\n",
       "      <td>740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900961</th>\n",
       "      <td>373162</td>\n",
       "      <td>4250</td>\n",
       "      <td>16984</td>\n",
       "      <td>2580</td>\n",
       "      <td>4266.0</td>\n",
       "      <td>129708779532</td>\n",
       "      <td>1.459215e+12</td>\n",
       "      <td>1644</td>\n",
       "      <td>350491870</td>\n",
       "      <td>5.862630e+11</td>\n",
       "      <td>246</td>\n",
       "      <td>17908768</td>\n",
       "      <td>2.899103e+10</td>\n",
       "      <td>800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900962</th>\n",
       "      <td>296112</td>\n",
       "      <td>3626</td>\n",
       "      <td>14428</td>\n",
       "      <td>2204</td>\n",
       "      <td>3838.0</td>\n",
       "      <td>71788687372</td>\n",
       "      <td>1.343251e+12</td>\n",
       "      <td>1460</td>\n",
       "      <td>333654138</td>\n",
       "      <td>5.218385e+11</td>\n",
       "      <td>226</td>\n",
       "      <td>33377398</td>\n",
       "      <td>3.865471e+10</td>\n",
       "      <td>730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900963</th>\n",
       "      <td>295230</td>\n",
       "      <td>3694</td>\n",
       "      <td>11800</td>\n",
       "      <td>2228</td>\n",
       "      <td>3878.0</td>\n",
       "      <td>103810377532</td>\n",
       "      <td>1.327145e+12</td>\n",
       "      <td>1382</td>\n",
       "      <td>267143414</td>\n",
       "      <td>4.928475e+11</td>\n",
       "      <td>188</td>\n",
       "      <td>3227242</td>\n",
       "      <td>2.576980e+10</td>\n",
       "      <td>732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900964</th>\n",
       "      <td>369492</td>\n",
       "      <td>4108</td>\n",
       "      <td>20714</td>\n",
       "      <td>2532</td>\n",
       "      <td>4240.0</td>\n",
       "      <td>110267258468</td>\n",
       "      <td>1.459215e+12</td>\n",
       "      <td>1630</td>\n",
       "      <td>298328224</td>\n",
       "      <td>5.798206e+11</td>\n",
       "      <td>228</td>\n",
       "      <td>12622604</td>\n",
       "      <td>3.221226e+10</td>\n",
       "      <td>794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900965</th>\n",
       "      <td>280462</td>\n",
       "      <td>3368</td>\n",
       "      <td>14228</td>\n",
       "      <td>2190</td>\n",
       "      <td>3686.0</td>\n",
       "      <td>107054124248</td>\n",
       "      <td>1.256278e+12</td>\n",
       "      <td>1302</td>\n",
       "      <td>270086164</td>\n",
       "      <td>4.702989e+11</td>\n",
       "      <td>224</td>\n",
       "      <td>28872290</td>\n",
       "      <td>4.831838e+10</td>\n",
       "      <td>708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900966</th>\n",
       "      <td>274754</td>\n",
       "      <td>3288</td>\n",
       "      <td>19114</td>\n",
       "      <td>2234</td>\n",
       "      <td>3790.0</td>\n",
       "      <td>65004498658</td>\n",
       "      <td>1.317481e+12</td>\n",
       "      <td>1202</td>\n",
       "      <td>206372310</td>\n",
       "      <td>4.284230e+11</td>\n",
       "      <td>232</td>\n",
       "      <td>19151004</td>\n",
       "      <td>5.153961e+10</td>\n",
       "      <td>748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900967</th>\n",
       "      <td>275200</td>\n",
       "      <td>3392</td>\n",
       "      <td>17314</td>\n",
       "      <td>2192</td>\n",
       "      <td>3766.0</td>\n",
       "      <td>71709783016</td>\n",
       "      <td>1.304596e+12</td>\n",
       "      <td>1302</td>\n",
       "      <td>306880978</td>\n",
       "      <td>4.670777e+11</td>\n",
       "      <td>132</td>\n",
       "      <td>3224886552</td>\n",
       "      <td>6.442451e+09</td>\n",
       "      <td>698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900968</th>\n",
       "      <td>310750</td>\n",
       "      <td>3818</td>\n",
       "      <td>17814</td>\n",
       "      <td>2356</td>\n",
       "      <td>3974.0</td>\n",
       "      <td>103665204462</td>\n",
       "      <td>1.362578e+12</td>\n",
       "      <td>1400</td>\n",
       "      <td>216080566</td>\n",
       "      <td>4.992900e+11</td>\n",
       "      <td>184</td>\n",
       "      <td>11795588</td>\n",
       "      <td>2.576980e+10</td>\n",
       "      <td>748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900969</th>\n",
       "      <td>415104</td>\n",
       "      <td>4236</td>\n",
       "      <td>20196</td>\n",
       "      <td>2986</td>\n",
       "      <td>4588.0</td>\n",
       "      <td>104147612124</td>\n",
       "      <td>1.591285e+12</td>\n",
       "      <td>1636</td>\n",
       "      <td>390864748</td>\n",
       "      <td>5.798206e+11</td>\n",
       "      <td>244</td>\n",
       "      <td>3246054588</td>\n",
       "      <td>3.865471e+10</td>\n",
       "      <td>892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900970</th>\n",
       "      <td>265978</td>\n",
       "      <td>3416</td>\n",
       "      <td>15128</td>\n",
       "      <td>2124</td>\n",
       "      <td>3642.0</td>\n",
       "      <td>68601421476</td>\n",
       "      <td>1.256278e+12</td>\n",
       "      <td>1316</td>\n",
       "      <td>334331212</td>\n",
       "      <td>4.702989e+11</td>\n",
       "      <td>188</td>\n",
       "      <td>24028120</td>\n",
       "      <td>3.543348e+10</td>\n",
       "      <td>680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900971</th>\n",
       "      <td>310118</td>\n",
       "      <td>3562</td>\n",
       "      <td>13778</td>\n",
       "      <td>2254</td>\n",
       "      <td>3858.0</td>\n",
       "      <td>103752229950</td>\n",
       "      <td>1.336809e+12</td>\n",
       "      <td>1384</td>\n",
       "      <td>259615348</td>\n",
       "      <td>4.992900e+11</td>\n",
       "      <td>178</td>\n",
       "      <td>17474924</td>\n",
       "      <td>2.576980e+10</td>\n",
       "      <td>750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0021900973</th>\n",
       "      <td>264068</td>\n",
       "      <td>3332</td>\n",
       "      <td>19080</td>\n",
       "      <td>2232</td>\n",
       "      <td>3690.0</td>\n",
       "      <td>74908703962</td>\n",
       "      <td>1.288490e+12</td>\n",
       "      <td>1226</td>\n",
       "      <td>277481288</td>\n",
       "      <td>4.380867e+11</td>\n",
       "      <td>170</td>\n",
       "      <td>14643302</td>\n",
       "      <td>2.576980e+10</td>\n",
       "      <td>726</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>971 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            EVENTNUM  EVENTMSGTYPE  EVENTMSGACTIONTYPE  PERIOD  PERSON1TYPE  \\\n",
       "GAME_ID                                                                       \n",
       "0021900001    457812          4638               20860    3066       4882.0   \n",
       "0021900002    320558          3818               16252    2316       3990.0   \n",
       "0021900003    352988          3976               11700    2494       4310.0   \n",
       "0021900004    352064          4012               19264    2536       4224.0   \n",
       "0021900005    309786          3648               13582    2342       3972.0   \n",
       "...              ...           ...                 ...     ...          ...   \n",
       "0021900968    310750          3818               17814    2356       3974.0   \n",
       "0021900969    415104          4236               20196    2986       4588.0   \n",
       "0021900970    265978          3416               15128    2124       3642.0   \n",
       "0021900971    310118          3562               13778    2254       3858.0   \n",
       "0021900973    264068          3332               19080    2232       3690.0   \n",
       "\n",
       "              PLAYER1_ID  PLAYER1_TEAM_ID  PERSON2TYPE  PLAYER2_ID  \\\n",
       "GAME_ID                                                              \n",
       "0021900001  110695178200     1.694365e+12         1558   397844134   \n",
       "0021900002   87316290770     1.381906e+12         1416   121799292   \n",
       "0021900003  100913296122     1.475321e+12         1562   393597430   \n",
       "0021900004   87792938558     1.462436e+12         1592   316542280   \n",
       "0021900005   84405960494     1.369021e+12         1370   246966448   \n",
       "...                  ...              ...          ...         ...   \n",
       "0021900968  103665204462     1.362578e+12         1400   216080566   \n",
       "0021900969  104147612124     1.591285e+12         1636   390864748   \n",
       "0021900970   68601421476     1.256278e+12         1316   334331212   \n",
       "0021900971  103752229950     1.336809e+12         1384   259615348   \n",
       "0021900973   74908703962     1.288490e+12         1226   277481288   \n",
       "\n",
       "            PLAYER2_TEAM_ID  PERSON3TYPE  PLAYER3_ID  PLAYER3_TEAM_ID  \\\n",
       "GAME_ID                                                                 \n",
       "0021900001     5.572720e+11          322    37031216     4.509716e+10   \n",
       "0021900002     5.089536e+11          272    10164596     4.509716e+10   \n",
       "0021900003     5.540508e+11          194    17917020     2.899103e+10   \n",
       "0021900004     5.669357e+11          262    19522928     4.187593e+10   \n",
       "0021900005     4.896263e+11          162    15053062     2.899103e+10   \n",
       "...                     ...          ...         ...              ...   \n",
       "0021900968     4.992900e+11          184    11795588     2.576980e+10   \n",
       "0021900969     5.798206e+11          244  3246054588     3.865471e+10   \n",
       "0021900970     4.702989e+11          188    24028120     3.543348e+10   \n",
       "0021900971     4.992900e+11          178    17474924     2.576980e+10   \n",
       "0021900973     4.380867e+11          170    14643302     2.576980e+10   \n",
       "\n",
       "            VIDEO_AVAILABLE_FLAG  \n",
       "GAME_ID                           \n",
       "0021900001                   952  \n",
       "0021900002                   772  \n",
       "0021900003                   726  \n",
       "0021900004                   716  \n",
       "0021900005                   744  \n",
       "...                          ...  \n",
       "0021900968                   748  \n",
       "0021900969                   892  \n",
       "0021900970                   680  \n",
       "0021900971                   750  \n",
       "0021900973                   726  \n",
       "\n",
       "[971 rows x 14 columns]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "concated.groupby(\"GAME_ID\").sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "from nba_api.stats.endpoints.leaguedashteamstats import LeagueDashTeamStats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "stats = LeagueDashTeamStats()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1942"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.get_data_frames()[0].GP.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "971"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(games.loc[games.SEASON_ID == \"22019\"].GAME_ID.unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "dropped_concated = concated.drop_duplicates(keep='first')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "dropped_concated.to_csv('play_by_plays/all_pbps_no_dups.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loaded"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "pbp_df = pd.read_csv('play_by_plays/all_pbps_no_dups.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "pbp_df = pbp_df.loc[:, pbp_df.columns[1:]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "pbp_df.to_csv('play_by_plays/all_pbps_no_dups.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "non_cleaned = pd.read_csv('play_by_plays/all_pbps.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "non_cleaned = non_cleaned.loc[:, non_cleaned.columns[1:]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>GAME_ID</th>\n",
       "      <th>EVENTNUM</th>\n",
       "      <th>EVENTMSGTYPE</th>\n",
       "      <th>EVENTMSGACTIONTYPE</th>\n",
       "      <th>PERIOD</th>\n",
       "      <th>WCTIMESTRING</th>\n",
       "      <th>PCTIMESTRING</th>\n",
       "      <th>HOMEDESCRIPTION</th>\n",
       "      <th>NEUTRALDESCRIPTION</th>\n",
       "      <th>VISITORDESCRIPTION</th>\n",
       "      <th>...</th>\n",
       "      <th>PLAYER2_TEAM_NICKNAME</th>\n",
       "      <th>PLAYER2_TEAM_ABBREVIATION</th>\n",
       "      <th>PERSON3TYPE</th>\n",
       "      <th>PLAYER3_ID</th>\n",
       "      <th>PLAYER3_NAME</th>\n",
       "      <th>PLAYER3_TEAM_ID</th>\n",
       "      <th>PLAYER3_TEAM_CITY</th>\n",
       "      <th>PLAYER3_TEAM_NICKNAME</th>\n",
       "      <th>PLAYER3_TEAM_ABBREVIATION</th>\n",
       "      <th>VIDEO_AVAILABLE_FLAG</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>21900969</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>7:42 PM</td>\n",
       "      <td>11:45</td>\n",
       "      <td>Dedmon REBOUND (Off:0 Def:1)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>466256</th>\n",
       "      <td>21900969</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>7:42 PM</td>\n",
       "      <td>11:45</td>\n",
       "      <td>Dedmon REBOUND (Off:0 Def:1)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         GAME_ID  EVENTNUM  EVENTMSGTYPE  EVENTMSGACTIONTYPE  PERIOD  \\\n",
       "3       21900969         6             4                   0       1   \n",
       "466256  21900969         6             4                   0       1   \n",
       "\n",
       "       WCTIMESTRING PCTIMESTRING               HOMEDESCRIPTION  \\\n",
       "3           7:42 PM        11:45  Dedmon REBOUND (Off:0 Def:1)   \n",
       "466256      7:42 PM        11:45  Dedmon REBOUND (Off:0 Def:1)   \n",
       "\n",
       "        NEUTRALDESCRIPTION VISITORDESCRIPTION  ... PLAYER2_TEAM_NICKNAME  \\\n",
       "3                      NaN                NaN  ...                   NaN   \n",
       "466256                 NaN                NaN  ...                   NaN   \n",
       "\n",
       "       PLAYER2_TEAM_ABBREVIATION  PERSON3TYPE  PLAYER3_ID PLAYER3_NAME  \\\n",
       "3                            NaN            0           0          NaN   \n",
       "466256                       NaN            0           0          NaN   \n",
       "\n",
       "        PLAYER3_TEAM_ID PLAYER3_TEAM_CITY PLAYER3_TEAM_NICKNAME  \\\n",
       "3                   NaN               NaN                   NaN   \n",
       "466256              NaN               NaN                   NaN   \n",
       "\n",
       "       PLAYER3_TEAM_ABBREVIATION  VIDEO_AVAILABLE_FLAG  \n",
       "3                            NaN                     1  \n",
       "466256                       NaN                     1  \n",
       "\n",
       "[2 rows x 34 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "non_cleaned.loc[(non_cleaned.GAME_ID == 21900969) & (non_cleaned.EVENTNUM == 6)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "dropped_dups = non_cleaned.drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>GAME_ID</th>\n",
       "      <th>EVENTNUM</th>\n",
       "      <th>EVENTMSGTYPE</th>\n",
       "      <th>EVENTMSGACTIONTYPE</th>\n",
       "      <th>PERIOD</th>\n",
       "      <th>WCTIMESTRING</th>\n",
       "      <th>PCTIMESTRING</th>\n",
       "      <th>HOMEDESCRIPTION</th>\n",
       "      <th>NEUTRALDESCRIPTION</th>\n",
       "      <th>VISITORDESCRIPTION</th>\n",
       "      <th>...</th>\n",
       "      <th>PLAYER2_TEAM_NICKNAME</th>\n",
       "      <th>PLAYER2_TEAM_ABBREVIATION</th>\n",
       "      <th>PERSON3TYPE</th>\n",
       "      <th>PLAYER3_ID</th>\n",
       "      <th>PLAYER3_NAME</th>\n",
       "      <th>PLAYER3_TEAM_ID</th>\n",
       "      <th>PLAYER3_TEAM_CITY</th>\n",
       "      <th>PLAYER3_TEAM_NICKNAME</th>\n",
       "      <th>PLAYER3_TEAM_ABBREVIATION</th>\n",
       "      <th>VIDEO_AVAILABLE_FLAG</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>21900969</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>102</td>\n",
       "      <td>1</td>\n",
       "      <td>7:43 PM</td>\n",
       "      <td>11:30</td>\n",
       "      <td>MISS Young 16' Driving Floating Bank Jump Shot</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    GAME_ID  EVENTNUM  EVENTMSGTYPE  EVENTMSGACTIONTYPE  PERIOD WCTIMESTRING  \\\n",
       "6  21900969        10             2                 102       1      7:43 PM   \n",
       "\n",
       "  PCTIMESTRING                                 HOMEDESCRIPTION  \\\n",
       "6        11:30  MISS Young 16' Driving Floating Bank Jump Shot   \n",
       "\n",
       "   NEUTRALDESCRIPTION VISITORDESCRIPTION  ... PLAYER2_TEAM_NICKNAME  \\\n",
       "6                 NaN                NaN  ...                   NaN   \n",
       "\n",
       "  PLAYER2_TEAM_ABBREVIATION  PERSON3TYPE  PLAYER3_ID PLAYER3_NAME  \\\n",
       "6                       NaN            0           0          NaN   \n",
       "\n",
       "   PLAYER3_TEAM_ID PLAYER3_TEAM_CITY PLAYER3_TEAM_NICKNAME  \\\n",
       "6              NaN               NaN                   NaN   \n",
       "\n",
       "  PLAYER3_TEAM_ABBREVIATION  VIDEO_AVAILABLE_FLAG  \n",
       "6                       NaN                     1  \n",
       "\n",
       "[1 rows x 34 columns]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dropped_dups.loc[(dropped_dups.GAME_ID == 21900969) & (dropped_dups.EVENTNUM == 10)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "dropped_dups.to_csv('play_by_plays/pbp_cleaned.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Finding timeout"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Filtering out junk types"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "dropped_dups = pd.read_csv('play_by_plays/pbp_cleaned.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "dropped_dups = dropped_dups.loc[:, dropped_dups.columns[1:]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "dropped_dups = dropped_dups.loc[(dropped_dups.EVENTMSGTYPE != 18) & (dropped_dups.EVENTMSGTYPE != 11)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "timeouts = dropped_dups.loc[dropped_dups.EVENTMSGTYPE == 9]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "filtered = timeouts.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Play types\n",
    "\n",
    "* 1: made shot\n",
    "* 2: missed shot\n",
    "* 3: free throw -> Filter out\n",
    "* 5: turnover/steal -> Gledaj player1 team_id\n",
    "* 6: Foul, we will group by EVENTMSGTYPE\n",
    "    * 1: Normal foul, Depends on Penalty or not. \n",
    "    * 2: Shooting foul, successful play\n",
    "    * 3, 6: We can do same as for Normal foul\n",
    "    * 14: Flagrant foul, successfull play\n",
    "\n",
    "\n",
    "\n",
    "Filter BEFORE Grouping Timeouts:\n",
    "* 11: Ejection, lol -> filter out\n",
    "* 18: JUNK JUNK JUNK\n",
    "\n",
    "Filter in the Func (Ignore):\n",
    "* 8: Sub -> filter\n",
    "* 9: Timeout -> filter\n",
    "* 6: Foul\n",
    "    * 4: offensive foul -> TURNOVER (proceed to eventmsgtype=5) Filtered out\n",
    "    * 26: Offensive foul -> Charge, TURNOVER (proceed to eventmsgtype=5), Filter out in function\n",
    "* 7: Violation -> Ignore I guess?\n",
    "\n",
    "Delete after the Grouping of after plays:\n",
    "* 13: Time ran out -> Either mark as negative, or nullify\n",
    "* 10: Jump Ball -> We will ignored the timeout and the play\n",
    "* 4: Rebound -> Delete after grouping\n",
    "* 3: free throw -> Filter out\n",
    "* 6: Foul\n",
    "    * 11: Tehnical foul -> Delete later\n",
    "    * 16, 18: Delete after\n",
    "    * 17: Tehnical foul (3 sec) -> Delete later\n",
    "    * 28 Take foul -> meaning that this is intentional foul, when in bonus, filter out after grouping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def filter_func(row):\n",
    "    next_play = dropped_dups.loc[\n",
    "        (dropped_dups.index > row.name) & \n",
    "        (dropped_dups.EVENTMSGTYPE != 8) & \n",
    "        (dropped_dups.EVENTMSGTYPE != 18)].iloc[0]\n",
    "    next_play['TIMEOUT_GAME_ID'] = next_play.GAME_ID\n",
    "    next_play['TIMEOUT_EVENTNUM'] = row.EVENTNUM\n",
    "    return next_play"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 371,
   "metadata": {},
   "outputs": [],
   "source": [
    "def filter_value(item):\n",
    "    next_play = dropped_dups.loc[\n",
    "        (dropped_dups.index > item.name) & (\n",
    "        (dropped_dups.EVENTMSGTYPE == 1) |\n",
    "        (dropped_dups.EVENTMSGTYPE == 2) |\n",
    "        (dropped_dups.EVENTMSGTYPE == 3) |\n",
    "        (dropped_dups.EVENTMSGTYPE == 5) |\n",
    "        ((dropped_dups.EVENTMSGTYPE == 6) & (dropped_dups.EVENTMSGACTIONTYPE.isin([1, 2, 3, 6, 14]))))].iloc[0]\n",
    "    next_play['TIMEOUT_GAME_ID'] = next_play.GAME_ID\n",
    "    next_play['TIMEOUT_EVENTNUM'] = item.EVENTNUM\n",
    "    return next_play"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\danie\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\tqdm\\_tqdm.py:634: FutureWarning: The Panel class is removed from pandas. Accessing it from the top-level namespace will also be removed in the next version\n",
      "  from pandas import Panel\n"
     ]
    }
   ],
   "source": [
    "tqdm.tqdm.pandas()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10905/10905 [10:32<00:00, 17.23it/s]\n"
     ]
    }
   ],
   "source": [
    "ato_plays_no_filter = timeouts.progress_apply(filter_func, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "ato_plays_no_filter.to_csv('play_by_plays/ato_all_actions.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Delete after the Grouping of after plays:\n",
    "* 13: Time ran out -> Either mark as negative, or nullify\n",
    "* 10: Jump Ball -> We will ignored the timeout and the play\n",
    "* 4: Rebound -> Delete after grouping\n",
    "* 3: free throw -> Filter out\n",
    "* 6: Foul\n",
    "    * 11: Tehnical foul -> Delete later\n",
    "    * 16, 18: Delete after\n",
    "    * 17: Tehnical foul (3 sec) -> Delete later\n",
    "    * 28 Take foul -> meaning that this is intentional foul, when in bonus, filter out after grouping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 374,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "ato_plays.to_csv('play_by_plays/ato_non_filtered.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 378,
   "metadata": {},
   "outputs": [],
   "source": [
    "filtered_ato = ato_plays.loc[\n",
    "    (ato_plays.EVENTMSGTYPE != 13) & \n",
    "    (ato_plays.EVENTMSGTYPE != 10) & \n",
    "    (ato_plays.EVENTMSGTYPE != 4) & \n",
    "    (ato_plays.EVENTMSGTYPE != 3)\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 381,
   "metadata": {},
   "outputs": [],
   "source": [
    "filtered_ato.to_csv('play_by_plays/ato_filtered.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 384,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GAME_ID                                                     21900969\n",
       "EVENTNUM                                                          46\n",
       "EVENTMSGTYPE                                                       9\n",
       "EVENTMSGACTIONTYPE                                                 1\n",
       "PERIOD                                                             1\n",
       "WCTIMESTRING                                                 7:46 PM\n",
       "PCTIMESTRING                                                    8:19\n",
       "HOMEDESCRIPTION              HAWKS Timeout: Regular (Full 1 Short 0)\n",
       "NEUTRALDESCRIPTION                                               NaN\n",
       "VISITORDESCRIPTION                                               NaN\n",
       "SCORE                                                            NaN\n",
       "SCOREMARGIN                                                      NaN\n",
       "PERSON1TYPE                                                        2\n",
       "PLAYER1_ID                                                1610612737\n",
       "PLAYER1_NAME                                                     NaN\n",
       "PLAYER1_TEAM_ID                                                  NaN\n",
       "PLAYER1_TEAM_CITY                                                NaN\n",
       "PLAYER1_TEAM_NICKNAME                                            NaN\n",
       "PLAYER1_TEAM_ABBREVIATION                                        NaN\n",
       "PERSON2TYPE                                                        0\n",
       "PLAYER2_ID                                                         0\n",
       "PLAYER2_NAME                                                     NaN\n",
       "PLAYER2_TEAM_ID                                                  NaN\n",
       "PLAYER2_TEAM_CITY                                                NaN\n",
       "PLAYER2_TEAM_NICKNAME                                            NaN\n",
       "PLAYER2_TEAM_ABBREVIATION                                        NaN\n",
       "PERSON3TYPE                                                        0\n",
       "PLAYER3_ID                                                         0\n",
       "PLAYER3_NAME                                                     NaN\n",
       "PLAYER3_TEAM_ID                                                  NaN\n",
       "PLAYER3_TEAM_CITY                                                NaN\n",
       "PLAYER3_TEAM_NICKNAME                                            NaN\n",
       "PLAYER3_TEAM_ABBREVIATION                                        NaN\n",
       "VIDEO_AVAILABLE_FLAG                                               0\n",
       "Name: 33, dtype: object"
      ]
     },
     "execution_count": 384,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "timeouts.iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 387,
   "metadata": {},
   "outputs": [],
   "source": [
    "timeouts_short = timeouts.loc[:, [\"GAME_ID\", \"EVENTNUM\", \"EVENTMSGTYPE\", \"PERSON1TYPE\", \"PLAYER1_ID\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 390,
   "metadata": {},
   "outputs": [],
   "source": [
    "timeouts_short = timeouts_short.rename(columns={'PLAYER1_ID': 'TIMEOUT_TEAM_ID'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 404,
   "metadata": {},
   "outputs": [],
   "source": [
    "team_names = timeouts_short.apply(lambda x: find_team_name_by_id(int(x.TIMEOUT_TEAM_ID))['full_name'], axis=1).tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 405,
   "metadata": {},
   "outputs": [],
   "source": [
    "timeouts_short.loc[:, \"TEAM_NAME\"] = team_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 407,
   "metadata": {},
   "outputs": [],
   "source": [
    "team_abbrev = timeouts_short.apply(lambda x: find_team_name_by_id(int(x.TIMEOUT_TEAM_ID))['abbreviation'], axis=1).tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 409,
   "metadata": {},
   "outputs": [],
   "source": [
    "timeouts_short.loc[:, \"TEAM_ABBREVIATION\"] = team_abbrev"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 411,
   "metadata": {},
   "outputs": [],
   "source": [
    "timeouts_short.to_csv('play_by_plays/timeouts_shortened.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Merging the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 418,
   "metadata": {},
   "outputs": [],
   "source": [
    "merged_data = pd.merge(left=timeouts_short, right=filtered_ato, left_on=(['GAME_ID', 'EVENTNUM']), right_on=(['GAME_ID', 'TIMEOUT_EVENTNUM']), suffixes=('_TO', '_PLAY'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 419,
   "metadata": {},
   "outputs": [],
   "source": [
    "merged_data.to_csv('play_by_plays/merged_data.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Loading"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "merged_data = pd.read_csv('play_by_plays/merged_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "team_events = merged_data.groupby('TEAM_NAME').EVENTMSGTYPE_PLAY.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_shots = team_events[:, 1] + team_events[:, 2] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "made_shots = team_events[:, 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "missed_shots = team_events[:, 2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "turnovers = team_events[:, 5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_actions = team_events[:, 1] + team_events[:, 2] + team_events[:, 5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "team_eff = made_shots / all_shots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "team_all_eff = made_shots / all_actions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "from nba_api.stats.endpoints.leaguedashteamstats import LeagueDashTeamStats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "team_stats = LeagueDashTeamStats().get_data_frames()[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "interesting_data = team_stats.loc[:, [\"TEAM_NAME\", \"W_PCT\"]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Finding team efficiency"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "team_efficiency = team_all_eff.to_frame()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "merged_data = pd.merge(left=interesting_data, right=team_efficiency, on=\"TEAM_NAME\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.style.use('fivethirtyeight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "merged_data.W_PCT = merged_data.W_PCT * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "merged_data.EVENTMSGTYPE_PLAY = merged_data.EVENTMSGTYPE_PLAY * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "from adjustText import adjust_text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {},
   "outputs": [],
   "source": [
    "# diverging\n",
    "\n",
    "light_blue = \"#C7E8F3\"\n",
    "wisteria = \"#BF9ACA\"\n",
    "rifle_green = '#45462A'\n",
    "quinarcidone_magenta = '#8E4162'\n",
    "amaranth_pink = '#EDA2C0'\n",
    "wisteria = '#BF9ACA'\n",
    "\n",
    "# Second one\n",
    "\n",
    "thistle = '#DDBDD5'\n",
    "lilac_luster = '#AC9FBB'\n",
    "black_coral = '#59656F'\n",
    "baby_pink = '#F4CBC6'\n",
    "melon = '#F4AFAB'\n",
    "\n",
    "# Strong\n",
    "flame = '#EC4E20'\n",
    "spanish_blue = '#016FB9'\n",
    "\n",
    "\n",
    "# other\n",
    "maximum_yellow_red = '#E3B23C'\n",
    "middle_blue = '#92DCE5'\n",
    "space_cadet = '#2B2D42'\n",
    "\n",
    "# Charting\n",
    "light_cyan = '#CCFBFE'\n",
    "old_rose = '#CD8987'\n",
    "inchworm = '#B0FE76'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {},
   "outputs": [],
   "source": [
    "# triadic\n",
    "copper_penny = '#AE676A'\n",
    "razzle_dazzle_rose = '#F147C3'\n",
    "olive_green = '#BBBE64'\n",
    "royal_blue = '#4166DB'\n",
    "screamin_green = '#79F062'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {},
   "outputs": [],
   "source": [
    "bball_gray = '#312f30'\n",
    "bball_white = '#dddee0'\n",
    "bball_orange = '#f87c24'\n",
    "bball_light_orange = '#fbaf7b'\n",
    "\n",
    "spanish_gray = '#989C94'\n",
    "olive_green = '#BBBE64'\n",
    "gold_fusion = '#73683B'\n",
    "copper = '#A8763E'\n",
    "burgundy = '#721121'\n",
    "queen_pink = '#ECCBD9'\n",
    "\n",
    "baby_pink = '#EBBAB9'\n",
    "morning_blue = '#97B1A6'\n",
    "brown = '#7E5920'\n",
    "rifle_green = '#45462A'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "32"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(12, 12))\n",
    "\n",
    "\n",
    "ax.scatter(x=merged_data.EVENTMSGTYPE_PLAY, y=merged_data.W_PCT, s=100, alpha=0.75, edgecolors='black', lw=1)\n",
    "ax.set_xlabel(\"Efficiency in ATO plays\")\n",
    "ax.set_ylabel(\"Win Percentage\")\n",
    "ax.set_title(\"Is there connection with After Timeout Plays and Win Percentage?\")\n",
    "\n",
    "ax.set_xticklabels([f\"{item}%\" for item in range(32, 52, 2)])\n",
    "ax.set_yticklabels([f\"{item}%\" for item in range(20, 90, 10)])\n",
    "\n",
    "texts = []\n",
    "for index in range(len(merged_data)):\n",
    "    item = merged_data.iloc[index]\n",
    "    texts.append(ax.text(x=item.EVENTMSGTYPE_PLAY, y=item.W_PCT, s=item.TEAM_NAME, size=10))\n",
    "\n",
    "adjust_text(texts, arrowprops=dict(arrowstyle='-', color='black'), expand_points=(1.5, 1.5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "32"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(12, 12))\n",
    "\n",
    "\n",
    "ax.scatter(x=merged_data.EVENTMSGTYPE_PLAY, y=merged_data.W_PCT, s=200, alpha=0.95, edgecolors=light_cyan, lw=1, color=baby_pink)\n",
    "ax.set_xlabel(\"Efficiency in ATO plays: Made Shots / (Missed Shots + Made Shots + TOs)\", color=bball_orange)\n",
    "ax.set_ylabel(\"Win Percentage\", color=bball_orange)\n",
    "ax.set_title(\"Is there connection with After Timeout Plays and Win Percentage?\", color=bball_orange)\n",
    "\n",
    "ax.set_xticklabels([f\"{item}%\" for item in range(32, 52, 2)], size=12)\n",
    "ax.set_yticklabels([f\"{item}%\" for item in range(20, 90, 10)], size=12)\n",
    "\n",
    "texts = []\n",
    "for index in range(len(merged_data)):\n",
    "    item = merged_data.iloc[index]\n",
    "    texts.append(ax.text(x=item.EVENTMSGTYPE_PLAY, y=item.W_PCT, s=item.TEAM_NAME, size=10, color=bball_white))\n",
    "\n",
    "ax.set_facecolor(bball_gray)\n",
    "fig.set_facecolor(bball_gray)\n",
    "ax.set_frame_on(False)\n",
    "ticks = ax.get_xticklabels()\n",
    "for tick in ticks:\n",
    "    tick.set_color(bball_white)\n",
    "ticks = ax.get_yticklabels()\n",
    "for tick in ticks:\n",
    "    tick.set_color(bball_white)\n",
    "ax.grid(b=True, color=bball_white, alpha=0.3, lw=0.5)\n",
    "adjust_text(texts, arrowprops=dict(arrowstyle='-', color=bball_white), expand_points=(1.5, 1.5))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bar Chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "made_pct = made_shots / all_actions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "missed_pct = missed_shots / all_actions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "to_pct = turnovers / all_actions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "concated_pcts = pd.concat([made_pct.to_frame(), missed_pct.to_frame(), to_pct.to_frame()], axis=1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "concated_pcts.columns = ['MADE_PCT', 'MISSED_PCT', 'TO_PCT']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "thistle = '#DDBDD5'\n",
    "lilac_luster = '#AC9FBB'\n",
    "black_coral = '#59656F'\n",
    "baby_pink = '#F4CBC6'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "concated_pcts = concated_pcts.sort_values(by='MADE_PCT')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(12, 12))\n",
    "\n",
    "ax.barh(y=concated_pcts.index, width=concated_pcts.MADE_PCT, label='Shots Made', color=olive_green)\n",
    "ax.barh(y=concated_pcts.index, width=concated_pcts.MISSED_PCT, left=concated_pcts.MADE_PCT, label='Shots Missed', color=old_rose)\n",
    "ax.barh(y=concated_pcts.index, width=concated_pcts.TO_PCT, left=concated_pcts.MADE_PCT + concated_pcts.MISSED_PCT, color=light_blue, label='Turnover')\n",
    "\n",
    "ax.set_title(\"Outcome of After Timeout Plays\", color=bball_orange, size=24)\n",
    "\n",
    "ax.set_xticklabels([f\"{item}%\" for item in range(0, 110, 20)], size=12)\n",
    "ax.set_facecolor(bball_gray)\n",
    "fig.set_facecolor(bball_gray)\n",
    "ax.set_frame_on(False)\n",
    "ticks = ax.get_xticklabels()\n",
    "for tick in ticks:\n",
    "    tick.set_color(bball_white)\n",
    "ticks = ax.get_yticklabels()\n",
    "for tick in ticks:\n",
    "    tick.set_color(bball_white)\n",
    "\n",
    "legend = ax.legend(loc='upper right', bbox_to_anchor=(1.175, 1))\n",
    "frame = legend.get_frame()\n",
    "frame.set_facecolor(bball_gray)\n",
    "frame.set_linewidth(2)\n",
    "frame.set_edgecolor(bball_light_orange)\n",
    "for text in legend.get_texts():\n",
    "    text.set_color(bball_light_orange)\n",
    "\n",
    "ax.grid(b=False, axis='x', color=bball_white, alpha=0.3, lw=0.5)\n",
    "ax.grid(b=False, axis='y')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib.patches import FancyBboxPatch\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0, 0, '0%'),\n",
       " Text(0, 0, '20%'),\n",
       " Text(0, 0, '40%'),\n",
       " Text(0, 0, '60%'),\n",
       " Text(0, 0, '80%'),\n",
       " Text(0, 0, '100%')]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(12, 12))\n",
    "\n",
    "ax.barh(y=concated_pcts.index, width=concated_pcts.MADE_PCT, label='Shots Made', color=olive_green)\n",
    "new_patches = []\n",
    "for patch in reversed(ax.patches):\n",
    "    bb = patch.get_bbox()\n",
    "    color=patch.get_facecolor()\n",
    "    p_bbox = FancyBboxPatch((bb.xmin, bb.ymin),\n",
    "                        abs(bb.width), abs(bb.height),\n",
    "                        boxstyle=\"round,pad=-0.0040,rounding_size=0.015\",\n",
    "                        ec=\"none\", fc=color,\n",
    "                        mutation_aspect=4\n",
    "                        )\n",
    "    patch.remove()\n",
    "    new_patches.append(p_bbox)\n",
    "\n",
    "for patch in new_patches:\n",
    "    ax.add_patch(patch)\n",
    "ax.set_title(\"Outcome of After Timeout Plays\", color=bball_orange, size=24)\n",
    "\n",
    "ax.set_xticklabels([f\"{item}%\" for item in range(0, 110, 20)], size=12)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Best executors ATO"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "merged_data = pd.read_csv('play_by_plays/merged_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "made_shots = merged_data.loc[merged_data.EVENTMSGTYPE_PLAY == 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "missed_shots = merged_data.loc[merged_data.EVENTMSGTYPE_PLAY == 2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "shot_made_counts_id = made_shots.PLAYER1_ID.value_counts()\n",
    "shot_missed_counts_id = missed_shots.PLAYER1_ID.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "shots_made_frame = shot_made_counts_id.to_frame(name=\"MADE_COUNT\")\n",
    "shots_missed_frame = shot_missed_counts_id.to_frame(name=\"MISSED_COUNT\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "#shots_made_frame.reset_index(level=0, inplace=True)\n",
    "shots_made_frame['PLAYER1_ID'] = shots_made_frame.index\n",
    "shots_made_frame = shots_made_frame.reset_index(level=0, drop=True)\n",
    "\n",
    "shots_missed_frame['PLAYER1_ID'] = shots_missed_frame.index\n",
    "shots_missed_frame = shots_missed_frame.reset_index(level=0, drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "merged_shots = pd.merge(shots_made_frame, shots_missed_frame)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "ato_executors = pd.merge(left=merged_shots, right=merged_data.loc[:, ['PLAYER1_ID', 'PLAYER1_NAME']], on='PLAYER1_ID', how='left').drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "ato_executors.loc[:, \"TOTAL_COUNT\"] = ato_executors.MADE_COUNT + ato_executors.MISSED_COUNT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "ato_executors = ato_executors.sort_values(by='TOTAL_COUNT', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "ato_executors.loc[:, \"PERCENTAGE\"] = ato_executors.MADE_COUNT / ato_executors.TOTAL_COUNT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "top_executors = ato_executors.iloc[:100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "top_twenty = top_executors.iloc[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "most_efficient = top_twenty.sort_values(by='PERCENTAGE', ascending=False).iloc[:5]\n",
    "least_efficient = top_twenty.sort_values(by='PERCENTAGE').iloc[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "most_shots = top_executors.iloc[:15]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "other = top_executors.loc[~top_executors.PLAYER1_ID.isin(most_shots.PLAYER1_ID.tolist())]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "dropped_dups = other.drop_duplicates(subset=['MADE_COUNT', 'TOTAL_COUNT'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MADE_COUNT</th>\n",
       "      <th>PLAYER1_ID</th>\n",
       "      <th>MISSED_COUNT</th>\n",
       "      <th>PLAYER1_NAME</th>\n",
       "      <th>TOTAL_COUNT</th>\n",
       "      <th>PERCENTAGE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>38</td>\n",
       "      <td>203999</td>\n",
       "      <td>40</td>\n",
       "      <td>Nikola Jokic</td>\n",
       "      <td>78</td>\n",
       "      <td>0.487179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>35</td>\n",
       "      <td>203078</td>\n",
       "      <td>42</td>\n",
       "      <td>Bradley Beal</td>\n",
       "      <td>77</td>\n",
       "      <td>0.454545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464</th>\n",
       "      <td>26</td>\n",
       "      <td>203897</td>\n",
       "      <td>43</td>\n",
       "      <td>Zach LaVine</td>\n",
       "      <td>69</td>\n",
       "      <td>0.376812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>972</th>\n",
       "      <td>25</td>\n",
       "      <td>202699</td>\n",
       "      <td>38</td>\n",
       "      <td>Tobias Harris</td>\n",
       "      <td>63</td>\n",
       "      <td>0.396825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391</th>\n",
       "      <td>27</td>\n",
       "      <td>202710</td>\n",
       "      <td>35</td>\n",
       "      <td>Jimmy Butler</td>\n",
       "      <td>62</td>\n",
       "      <td>0.435484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>667</th>\n",
       "      <td>25</td>\n",
       "      <td>201942</td>\n",
       "      <td>32</td>\n",
       "      <td>DeMar DeRozan</td>\n",
       "      <td>57</td>\n",
       "      <td>0.438596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>783</th>\n",
       "      <td>25</td>\n",
       "      <td>203925</td>\n",
       "      <td>32</td>\n",
       "      <td>Joe Harris</td>\n",
       "      <td>57</td>\n",
       "      <td>0.438596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>33</td>\n",
       "      <td>203944</td>\n",
       "      <td>23</td>\n",
       "      <td>Julius Randle</td>\n",
       "      <td>56</td>\n",
       "      <td>0.589286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1109</th>\n",
       "      <td>23</td>\n",
       "      <td>2544</td>\n",
       "      <td>31</td>\n",
       "      <td>LeBron James</td>\n",
       "      <td>54</td>\n",
       "      <td>0.425926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>31</td>\n",
       "      <td>203915</td>\n",
       "      <td>23</td>\n",
       "      <td>Spencer Dinwiddie</td>\n",
       "      <td>54</td>\n",
       "      <td>0.574074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603</th>\n",
       "      <td>25</td>\n",
       "      <td>1628378</td>\n",
       "      <td>28</td>\n",
       "      <td>Donovan Mitchell</td>\n",
       "      <td>53</td>\n",
       "      <td>0.471698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1288</th>\n",
       "      <td>21</td>\n",
       "      <td>203081</td>\n",
       "      <td>31</td>\n",
       "      <td>Damian Lillard</td>\n",
       "      <td>52</td>\n",
       "      <td>0.403846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1047</th>\n",
       "      <td>23</td>\n",
       "      <td>202694</td>\n",
       "      <td>29</td>\n",
       "      <td>Marcus Morris Sr.</td>\n",
       "      <td>52</td>\n",
       "      <td>0.442308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>911</th>\n",
       "      <td>25</td>\n",
       "      <td>202695</td>\n",
       "      <td>25</td>\n",
       "      <td>Kawhi Leonard</td>\n",
       "      <td>50</td>\n",
       "      <td>0.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>31</td>\n",
       "      <td>1629029</td>\n",
       "      <td>18</td>\n",
       "      <td>Luka Doncic</td>\n",
       "      <td>49</td>\n",
       "      <td>0.632653</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      MADE_COUNT  PLAYER1_ID  MISSED_COUNT       PLAYER1_NAME  TOTAL_COUNT  \\\n",
       "0             38      203999            40       Nikola Jokic           78   \n",
       "94            35      203078            42       Bradley Beal           77   \n",
       "464           26      203897            43        Zach LaVine           69   \n",
       "972           25      202699            38      Tobias Harris           63   \n",
       "391           27      202710            35       Jimmy Butler           62   \n",
       "667           25      201942            32      DeMar DeRozan           57   \n",
       "783           25      203925            32         Joe Harris           57   \n",
       "186           33      203944            23      Julius Randle           56   \n",
       "1109          23        2544            31       LeBron James           54   \n",
       "255           31      203915            23  Spencer Dinwiddie           54   \n",
       "603           25     1628378            28   Donovan Mitchell           53   \n",
       "1288          21      203081            31     Damian Lillard           52   \n",
       "1047          23      202694            29  Marcus Morris Sr.           52   \n",
       "911           25      202695            25      Kawhi Leonard           50   \n",
       "325           31     1629029            18        Luka Doncic           49   \n",
       "\n",
       "      PERCENTAGE  \n",
       "0       0.487179  \n",
       "94      0.454545  \n",
       "464     0.376812  \n",
       "972     0.396825  \n",
       "391     0.435484  \n",
       "667     0.438596  \n",
       "783     0.438596  \n",
       "186     0.589286  \n",
       "1109    0.425926  \n",
       "255     0.574074  \n",
       "603     0.471698  \n",
       "1288    0.403846  \n",
       "1047    0.442308  \n",
       "911     0.500000  \n",
       "325     0.632653  "
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "most_shots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {},
   "outputs": [],
   "source": [
    "popstar = '#B6465F'\n",
    "pastel_pink = '#DA9F93'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "15"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(12, 12))\n",
    "\n",
    "\n",
    "ax.scatter(x=dropped_dups.TOTAL_COUNT, y=dropped_dups.MADE_COUNT, s=100, alpha=0.75, edgecolors=pastel_pink, lw=1, color=bball_white)\n",
    "ax.scatter(x=most_shots.TOTAL_COUNT, y=most_shots.MADE_COUNT, s=150, alpha=1, edgecolors=pastel_pink, lw=1, color=popstar)\n",
    "#ax.scatter(x=least_efficient.TOTAL_COUNT, y=least_efficient.MADE_COUNT, s=200, alpha=1, edgecolors=light_cyan, lw=1, color=screamin_green)\n",
    "ax.set_xlabel(\"Total shots on ATO plays\", color=bball_orange)\n",
    "ax.set_ylabel(\"Shots made on ATO plays\", color=bball_orange)\n",
    "ax.set_title(\"Players who take most shots on After Timeout Plays\", color=bball_orange)\n",
    "\n",
    "#ax.set_xticklabels([f\"{item}%\" for item in range(32, 52, 2)], size=12)\n",
    "#ax.set_yticklabels([f\"{item}%\" for item in range(20, 90, 10)], size=12)\n",
    "\n",
    "texts = []\n",
    "for index in range(len(most_shots)):\n",
    "    item = most_shots.iloc[index]\n",
    "    texts.append(ax.text(x=item.TOTAL_COUNT, y=item.MADE_COUNT, s=item.PLAYER1_NAME, size=10, color=pastel_pink))\n",
    "\n",
    "ax.set_facecolor(bball_gray)\n",
    "fig.set_facecolor(bball_gray)\n",
    "ax.set_frame_on(False)\n",
    "ticks = ax.get_xticklabels()\n",
    "for tick in ticks:\n",
    "    tick.set_color(bball_white)\n",
    "ticks = ax.get_yticklabels()\n",
    "for tick in ticks:\n",
    "    tick.set_color(bball_white)\n",
    "ax.grid(b=True, color=bball_white, alpha=0.3, lw=0.5)\n",
    "adjust_text(texts, arrowprops=dict(arrowstyle='-', color=pastel_pink), expand_points=(1.5, 1.5))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Assisted vs Unassisted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "assisted_makes = merged_data.loc[(merged_data.EVENTMSGTYPE_PLAY == 1) & (merged_data.PLAYER2_ID != 0)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "unassisted_makes = merged_data.loc[(merged_data.EVENTMSGTYPE_PLAY == 1) & (merged_data.PLAYER2_ID == 0)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "unassisted_makes_frame = unassisted_makes.PLAYER1_ID.value_counts().to_frame(name=\"UNASSISTED_MAKES\")\n",
    "unassisted_makes_frame['PLAYER1_ID'] = unassisted_makes_frame.index\n",
    "unassisted_makes_frame = unassisted_makes_frame.reset_index(level=0, drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "assisted_makes_frame = assisted_makes.PLAYER1_ID.value_counts().to_frame(name=\"ASSISTED_MAKES\")\n",
    "assisted_makes_frame['PLAYER1_ID'] = assisted_makes_frame.index\n",
    "assisted_makes_frame = assisted_makes_frame.reset_index(level=0, drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "merged_ast_data = pd.merge(assisted_makes_frame, unassisted_makes_frame, on='PLAYER1_ID')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [],
   "source": [
    "names_ast_data = pd.merge(left=merged_ast_data, right=merged_data.loc[:, ['PLAYER1_ID', 'PLAYER1_NAME']], on='PLAYER1_ID', how='left').drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "names_ast_data.loc[:, \"TOTAL_MAKES\"] = names_ast_data.ASSISTED_MAKES + names_ast_data.UNASSISTED_MAKES"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [],
   "source": [
    "top_total_makes = names_ast_data.sort_values(by='TOTAL_MAKES', ascending=False).iloc[:30]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "14"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(12, 12))\n",
    "\n",
    "ax.scatter(x=top_total_makes.UNASSISTED_MAKES, y=top_total_makes.ASSISTED_MAKES, s=100, alpha=0.75, edgecolors=popstar, lw=1, color=bball_white)\n",
    "#ax.scatter(x=top_total_makes.UNASSISTED_MAKES, y=top_total_makes.MADE_COUNT, s=150, alpha=1, edgecolors=pastel_pink, lw=1, color=popstar)\n",
    "#ax.scatter(x=least_efficient.TOTAL_COUNT, y=least_efficient.MADE_COUNT, s=200, alpha=1, edgecolors=light_cyan, lw=1, color=screamin_green)\n",
    "ax.set_xlabel(\"Total Unassisted makes in ATO plays\", color=bball_orange)\n",
    "ax.set_ylabel(\"Total Assisted makes in ATO plays\", color=bball_orange)\n",
    "ax.set_title(\"Top scorers in ATO plays depending on whether the shot is assisted\", color=bball_orange)\n",
    "\n",
    "#ax.set_xticklabels([f\"{item}%\" for item in range(32, 52, 2)], size=12)\n",
    "#ax.set_yticklabels([f\"{item}%\" for item in range(20, 90, 10)], size=12)\n",
    "\n",
    "texts = []\n",
    "for index in range(len(top_total_makes)):\n",
    "    item = top_total_makes.iloc[index]\n",
    "    texts.append(ax.text(x=item.UNASSISTED_MAKES, y=item.ASSISTED_MAKES, s=item.PLAYER1_NAME, size=10, color=pastel_pink))\n",
    "\n",
    "ax.set_facecolor(bball_gray)\n",
    "fig.set_facecolor(bball_gray)\n",
    "ax.set_frame_on(False)\n",
    "ticks = ax.get_xticklabels()\n",
    "for tick in ticks:\n",
    "    tick.set_color(bball_white)\n",
    "ticks = ax.get_yticklabels()\n",
    "for tick in ticks:\n",
    "    tick.set_color(bball_white)\n",
    "ax.grid(b=True, color=bball_white, alpha=0.3, lw=0.5)\n",
    "adjust_text(texts, arrowprops=dict(arrowstyle='-', color=pastel_pink), expand_points=(1.5, 1.5))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Non Filtered\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_df = pd.read_csv('play_by_plays/ato_filtered.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2    4047\n",
       "1    3121\n",
       "5    1307\n",
       "6    1136\n",
       "Name: EVENTMSGTYPE, dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_df.EVENTMSGTYPE.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {},
   "outputs": [],
   "source": [
    "fourth_quarter = data_df.loc[data_df.PERIOD >= 4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [],
   "source": [
    "fourth_qt_makes = fourth_quarter.loc[fourth_quarter.EVENTMSGTYPE == 1].PLAYER1_ID.value_counts()\n",
    "fourth_qt_misses_tos = fourth_quarter.loc[(fourth_quarter.EVENTMSGTYPE == 2)].PLAYER1_ID.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {},
   "outputs": [],
   "source": [
    "fourth_qt_makes = fourth_qt_makes.to_frame(\"MADE_SHOTS\")\n",
    "fourth_qt_misses_tos = fourth_qt_misses_tos.to_frame(\"MISSED_SHOTS\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [],
   "source": [
    "merged_fourth_qt = pd.merge(fourth_qt_makes, fourth_qt_misses_tos, left_index=True, right_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {},
   "outputs": [],
   "source": [
    "merged_fourth_qt['PLAYER1_ID'] = merged_fourth_qt.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [],
   "source": [
    "merged_fourth_qt = merged_fourth_qt.reset_index(level=0, drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [],
   "source": [
    "names_only = data_df.loc[:, [\"PLAYER1_ID\", \"PLAYER1_NAME\"]].drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [],
   "source": [
    "fourth_qt_final = pd.merge(merged_fourth_qt, names_only, on=\"PLAYER1_ID\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [],
   "source": [
    "fourth_qt_final.loc[:, \"TOTAL\"] = fourth_qt_final.MADE_SHOTS + fourth_qt_final.MISSED_SHOTS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {},
   "outputs": [],
   "source": [
    "fourth_qt_ato = fourth_qt_final.sort_values(by=\"TOTAL\", ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {},
   "outputs": [],
   "source": [
    "fourth_qt_ato = fourth_qt_ato.iloc[:50]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {},
   "outputs": [],
   "source": [
    "most_shots = fourth_qt_ato.iloc[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.style.use('fivethirtyeight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "14"
      ]
     },
     "execution_count": 198,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(12, 12))\n",
    "\n",
    "\n",
    "ax.scatter(x=fourth_qt_ato.TOTAL, y=fourth_qt_ato.MADE_SHOTS, s=100, alpha=0.75, edgecolors=pastel_pink, lw=1, color=bball_white)\n",
    "ax.scatter(x=most_shots.TOTAL, y=most_shots.MADE_SHOTS, s=150, alpha=1, edgecolors=pastel_pink, lw=1, color=popstar)\n",
    "#ax.scatter(x=least_efficient.TOTAL_COUNT, y=least_efficient.MADE_COUNT, s=200, alpha=1, edgecolors=light_cyan, lw=1, color=screamin_green)\n",
    "ax.set_xlabel(\"Total shots on ATO plays\", color=bball_orange)\n",
    "ax.set_ylabel(\"Shots made on ATO plays\", color=bball_orange)\n",
    "ax.set_title(\"Players who take most shots on After Timeout Plays in 4th Quarter/Overtime\", color=bball_orange)\n",
    "\n",
    "#ax.set_xticklabels([f\"{item}%\" for item in range(32, 52, 2)], size=12)\n",
    "#ax.set_yticklabels([f\"{item}%\" for item in range(20, 90, 10)], size=12)\n",
    "\n",
    "texts = []\n",
    "for index in range(len(most_shots)):\n",
    "    item = most_shots.iloc[index]\n",
    "    texts.append(ax.text(x=item.TOTAL, y=item.MADE_SHOTS, s=item.PLAYER1_NAME, size=10, color=pastel_pink))\n",
    "\n",
    "ax.set_facecolor(bball_gray)\n",
    "fig.set_facecolor(bball_gray)\n",
    "ax.set_frame_on(False)\n",
    "\n",
    "ticks = ax.get_xticklabels()\n",
    "for tick in ticks:\n",
    "    tick.set_color(bball_white)\n",
    "ticks = ax.get_yticklabels()\n",
    "for tick in ticks:\n",
    "    tick.set_color(bball_white)\n",
    "ax.grid(b=True, color=bball_white, alpha=0.3, lw=0.5)\n",
    "adjust_text(texts, arrowprops=dict(arrowstyle='-', color=pastel_pink), expand_points=(1.5, 1.5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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