{ "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 }