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{
"cells": [
{
"cell_type": "raw",
"id": "41022af5",
"metadata": {},
"source": [
"---\n",
"title: ipyvizzu demo\n",
"description: ipyvizzu mercury demo\n",
"show-code: False\n",
"params:\n",
"params:\n",
" gender:\n",
" input: select\n",
" label: select the gender\n",
" choices: [male, female]\n",
" multi: False\n",
"---"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "bf9e62cb",
"metadata": {},
"outputs": [],
"source": [
"gender = 'male'"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1226e7e9",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"from ipyvizzu import Chart, Data, Config\n",
"\n",
"\n",
"data_frame = pd.read_csv('./titanic.csv')\n",
"data = Data()\n",
"data.add_data_frame(data_frame)\n",
"\n",
"chart = Chart(width=\"640px\", height=\"360px\")\n",
"\n",
"chart.animate(data)\n",
"\n",
"chart.animate(Config({\"x\": \"Count\", \"y\": \"Sex\", \"label\": \"Count\",\"title\":\"Passengers of the Titanic\"}))\n",
"chart.animate(Config({\"x\": [\"Count\",\"Survived\"], \"label\": [\"Count\",\"Survived\"], \"color\": \"Survived\"}))\n",
"chart.animate(Config({\"x\": \"Count\", \"y\": [\"Sex\",\"Survived\"]}))"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e4ded5cf",
"metadata": {},
"outputs": [],
"source": [
"datafilter = Data.filter(f\"record['Sex'] == '{gender}'\")\n",
"chart.animate(datafilter)"
]
}
],
"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": "3.8.10"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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