Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

documentation: upload Jupyter notebooks with ipyvizzu examples #295

Merged
merged 1 commit into from Feb 25, 2024
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
460 changes: 460 additions & 0 deletions community/ChangeDimension.ipynb

Large diffs are not rendered by default.

906 changes: 906 additions & 0 deletions community/Compare.ipynb

Large diffs are not rendered by default.

848 changes: 848 additions & 0 deletions community/Distribute.ipynb

Large diffs are not rendered by default.

721 changes: 721 additions & 0 deletions community/DrillDown.ipynb

Large diffs are not rendered by default.

450 changes: 450 additions & 0 deletions community/Filter.ipynb

Large diffs are not rendered by default.

1,427 changes: 1,427 additions & 0 deletions community/Miscellaneous.ipynb

Large diffs are not rendered by default.

1,155 changes: 1,155 additions & 0 deletions community/PresetCharts.ipynb

Large diffs are not rendered by default.

442 changes: 442 additions & 0 deletions community/Split.ipynb

Large diffs are not rendered by default.

330 changes: 330 additions & 0 deletions community/StretchToProportion.ipynb
Original file line number Diff line number Diff line change
@@ -0,0 +1,330 @@
{
"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
}
Loading
Loading