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Merge pull request #295 from dannylee8/dannylee8-example-jupyternoteb…
…ooks Upload Jupyter notebooks with ipyvizzu examples
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "ad10e05f-7087-499b-8b73-3e11583b4e81", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"import pandas as pd\n", | ||
"from ipyvizzu import Chart, Data, Config, Style\n", | ||
"\n", | ||
"# To setup:\n", | ||
"# pip install jupyterlab\n", | ||
"# mkdir ipyvizzu\n", | ||
"# cd ipyvizzu\n", | ||
"# pip install virtual env\n", | ||
"# mkdir venv\n", | ||
"# python -m venv venv\n", | ||
"# .\\venv\\Scripts\\activate.bat\n", | ||
"# validate (venv) is prefixing your prompt\n", | ||
"# pip install pandas\n", | ||
"# pip install pyarrow\n", | ||
"# pip install ipyvizzu\n", | ||
"# jupyter lab\n", | ||
"#" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "0e70d784-cea2-4b83-bcc2-168101ccaefd", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"###( load dataset 1 )###\n", | ||
"eu_df = pd.read_csv(\n", | ||
" \"https://ipyvizzu.vizzuhq.com/0.17/assets/data/chart_types_eu.csv\",\n", | ||
" dtype={\n", | ||
" \"Year\": str, \n", | ||
" \"Timeseries\": str\n", | ||
" },\n", | ||
")\n", | ||
"data_eu = Data()\n", | ||
"data_eu.add_df(eu_df)\n", | ||
"\n", | ||
"\n", | ||
"###( load dataset 2 )###\n", | ||
"eu_6_df = pd.read_csv(\n", | ||
" \"https://ipyvizzu.vizzuhq.com/0.17/assets/data/chart_types_eu_data_6.csv\",\n", | ||
" dtype={\n", | ||
" \"Year\": str, \n", | ||
" \"Timeseries\": str\n", | ||
" },\n", | ||
")\n", | ||
"data_eu_6 = Data()\n", | ||
"data_eu_6.add_df(eu_6_df)\n", | ||
"\n", | ||
"\n", | ||
"###( load dataset 3 )###\n", | ||
"eu_3_df = pd.read_csv(\n", | ||
" \"https://ipyvizzu.vizzuhq.com/0.17/assets/data/chart_types_eu_data_3.csv\",\n", | ||
" dtype={\n", | ||
" \"Year\": str, \n", | ||
" \"Timeseries\": str\n", | ||
" },\n", | ||
")\n", | ||
"data_eu_3 = Data()\n", | ||
"data_eu_3.add_df(eu_3_df)\n", | ||
"\n", | ||
"\n", | ||
"###( load dataset 4 )###\n", | ||
"eu_4_df = pd.read_csv(\n", | ||
" \"https://ipyvizzu.vizzuhq.com/0.17/assets/data/chart_types_eu_data_4.csv\",\n", | ||
" dtype={\n", | ||
" \"Year\": str, \n", | ||
" \"Timeseries\": str\n", | ||
" },\n", | ||
")\n", | ||
"data_eu_4 = Data()\n", | ||
"data_eu_4.add_df(eu_4_df)\n", | ||
"\n", | ||
"\n", | ||
"###( load dataset 8 )###\n", | ||
"eu_8_df = pd.read_csv(\n", | ||
" \"https://ipyvizzu.vizzuhq.com/0.17/assets/data/chart_types_eu_data_8.csv\",\n", | ||
" dtype={\n", | ||
" \"Year\": str, \n", | ||
" \"Timeseries\": str\n", | ||
" },\n", | ||
")\n", | ||
"data_eu_8 = Data()\n", | ||
"data_eu_8.add_df(eu_8_df)\n", | ||
"\n", | ||
"\n", | ||
"\n", | ||
"###( load dataset Music Industry History - 1 )###\n", | ||
"mih_1_df = pd.read_csv(\n", | ||
" \"https://ipyvizzu.vizzuhq.com/0.17/assets/data/music_industry_history_1.csv\",\n", | ||
" dtype={\n", | ||
" \"Year\": str, \n", | ||
" \"Timeseries\": str\n", | ||
" },\n", | ||
")\n", | ||
"data_mih_1 = Data()\n", | ||
"data_mih_1.add_df(mih_1_df)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "cf63ee32-25ff-4b5c-aeee-962159dbaad6", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"###( Stretch to proportion: Stacked Area )###\n", | ||
"### https://ipyvizzu.vizzuhq.com/latest/examples/analytical_operations/stretch_to_proportion/area_stacked/\n", | ||
"\n", | ||
"chart = Chart()\n", | ||
"chart.animate(data_eu_8)\n", | ||
"chart.animate(\n", | ||
" Config(\n", | ||
" {\n", | ||
" \"channels\": {\n", | ||
" \"x\": \"Year\",\n", | ||
" \"y\": [\"Value 2 (+)\", \"Country\"],\n", | ||
" \"color\": \"Country\",\n", | ||
" },\n", | ||
" \"geometry\": \"area\",\n", | ||
" \"title\": \"Stretch to proportion: Stacked Area\",\n", | ||
" }\n", | ||
" )\n", | ||
")\n", | ||
" \n", | ||
"chart.animate(Config({\"align\": \"stretch\"}))\n", | ||
" \n", | ||
"chart.feature(\"tooltip\", True)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "834e2045-0dc8-4e9f-8954-bf79ed99ce3b", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"###( Stretch to proportion: Groupped Column )###\n", | ||
"### https://ipyvizzu.vizzuhq.com/latest/examples/analytical_operations/stretch_to_proportion/column_groupped/\n", | ||
"\n", | ||
"chart = Chart()\n", | ||
"chart.animate(data_eu_4)\n", | ||
"chart.animate(\n", | ||
" Config(\n", | ||
" {\n", | ||
" \"channels\": {\n", | ||
" \"x\": [\"Year\", \"Country\"],\n", | ||
" \"y\": \"Value 2 (+)\",\n", | ||
" \"color\": \"Country\",\n", | ||
" },\n", | ||
" \"title\": \"Stretch to proportion: Grouped Column\",\n", | ||
" }\n", | ||
" )\n", | ||
")\n", | ||
" \n", | ||
"chart.animate(\n", | ||
" Config(\n", | ||
" {\n", | ||
" \"channels\": {\n", | ||
" \"x\": \"Year\",\n", | ||
" \"y\": [\"Country\", \"Value 2 (+)\"],\n", | ||
" },\n", | ||
" \"align\": \"stretch\",\n", | ||
" }\n", | ||
" )\n", | ||
")\n", | ||
" \n", | ||
"chart.feature(\"tooltip\", True)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "ade3b02d-692f-4e92-b828-6a9d77d6fa23", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"###( Stretch to proportion: Split Stacked Column )###\n", | ||
"### https://ipyvizzu.vizzuhq.com/latest/examples/analytical_operations/stretch_to_proportion/column_split_stacked/\n", | ||
"\n", | ||
"chart = Chart()\n", | ||
"chart.animate(data_eu_8)\n", | ||
"chart.animate(\n", | ||
" Config(\n", | ||
" {\n", | ||
" \"channels\": {\n", | ||
" \"x\": \"Year\",\n", | ||
" \"y\": [\"Country\", \"Value 2 (+)\"],\n", | ||
" \"color\": \"Country\",\n", | ||
" \"label\": \"Value 2 (+)\",\n", | ||
" },\n", | ||
" \"split\": True,\n", | ||
" \"title\": \"Stretch to proportion: Split Stacked Area\",\n", | ||
" }\n", | ||
" ),\n", | ||
" Style(\n", | ||
" {\n", | ||
" \"plot\": {\n", | ||
" \"marker\": {\n", | ||
" \"label\": {\"position\": \"top\", \"fontSize\": \"0.6em\"}\n", | ||
" }\n", | ||
" }\n", | ||
" }\n", | ||
" ),\n", | ||
")\n", | ||
" \n", | ||
"chart.animate(\n", | ||
" Config(\n", | ||
" {\n", | ||
" \"channels\": {\"label\": None},\n", | ||
" \"align\": \"stretch\",\n", | ||
" \"split\": False,\n", | ||
" }\n", | ||
" )\n", | ||
")\n", | ||
" \n", | ||
"chart.feature(\"tooltip\", True)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "94852eb6-63cd-4866-baee-c2249f5bface", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"###( Stretch to proportion: Stacked Column )###\n", | ||
"### https://ipyvizzu.vizzuhq.com/latest/examples/analytical_operations/stretch_to_proportion/column_split_stacked/\n", | ||
"\n", | ||
"chart = Chart()\n", | ||
"chart.animate(data_eu_8)\n", | ||
"chart.animate(\n", | ||
" Config(\n", | ||
" {\n", | ||
" \"channels\": {\n", | ||
" \"x\": \"Year\",\n", | ||
" \"y\": [\"Country\", \"Value 2 (+)\"],\n", | ||
" \"color\": \"Country\",\n", | ||
" },\n", | ||
" \"title\": \"Stretch to proportion: Stacked Column\",\n", | ||
" }\n", | ||
" )\n", | ||
")\n", | ||
" \n", | ||
"chart.animate(Config({\"align\": \"stretch\"}))\n", | ||
" \n", | ||
"chart.feature(\"tooltip\", True)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "7a432381-81c8-453b-8911-78a784da1639", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"###( Stretch to proportion: Line )###\n", | ||
"### https://ipyvizzu.vizzuhq.com/latest/examples/analytical_operations/stretch_to_proportion/line/\n", | ||
"\n", | ||
"chart = Chart()\n", | ||
"chart.animate(data_eu_8)\n", | ||
"chart.animate(\n", | ||
" Config(\n", | ||
" {\n", | ||
" \"channels\": {\n", | ||
" \"x\": \"Year\",\n", | ||
" \"y\": \"Value 2 (+)\",\n", | ||
" \"color\": \"Country\",\n", | ||
" },\n", | ||
" \"geometry\": \"line\",\n", | ||
" \"title\": \"Stretch to proportion: Line\",\n", | ||
" }\n", | ||
" )\n", | ||
")\n", | ||
" \n", | ||
"chart.animate(\n", | ||
" Config(\n", | ||
" {\n", | ||
" \"channels\": {\"y\": [\"Value 2 (+)\", \"Country\"]},\n", | ||
" \"geometry\": \"area\",\n", | ||
" \"align\": \"stretch\",\n", | ||
" }\n", | ||
" )\n", | ||
")\n", | ||
" \n", | ||
"chart.feature(\"tooltip\", True)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "8af0b027-b99a-41c5-9f37-d7899a6c27cc", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"###( END )###" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3 (ipykernel)", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 3 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython3", | ||
"version": "3.10.11" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 5 | ||
} |
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