{ "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": [ "# configure default value\n", "\n", "gender = 'male'\n" ] }, { "cell_type": "code", "execution_count": null, "id": "1226e7e9", "metadata": {}, "outputs": [], "source": [ "# import pandas and ipyvizzu and initialize chart\n", "\n", "import pandas as pd\n", "from ipyvizzu import Chart, Data, Config, Style\n", "\n", "\n", "chart = Chart(width=\"640px\", height=\"360px\")\n", "chart.scroll_into_view = True\n", "# chart = Chart(width=\"640px\", height=\"360px\", display=\"begin\")\n", "# chart = Chart(width=\"640px\", height=\"360px\", display=\"actual\") # default\n", "# chart = Chart(width=\"640px\", height=\"360px\", display=\"end\")\n", "# chart = Chart(width=\"640px\", height=\"360px\", display=\"manual\")\n" ] }, { "cell_type": "code", "execution_count": null, "id": "1a26e2e9", "metadata": {}, "outputs": [], "source": [ "# add data\n", "\n", "data = Data()\n", "data_frame = pd.read_csv(\"https://github.com/vizzuhq/ipyvizzu/raw/main/docs/examples/stories/titanic/titanic.csv\")\n", "data.add_data_frame(data_frame)\n", "\n", "chart.animate(data)\n" ] }, { "cell_type": "code", "execution_count": null, "id": "1ab7ece9", "metadata": {}, "outputs": [], "source": [ "# add config\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": "9ab1ecf9", "metadata": {}, "outputs": [], "source": [ "# add style\n", "\n", "chart.animate(Style({\"title\": {\"fontSize\": 35}}))\n" ] }, { "cell_type": "code", "execution_count": null, "id": "e4ded5cf", "metadata": {}, "outputs": [], "source": [ "# filter data by the selected gender\n", "\n", "data_filter = Data.filter(f\"record['Sex'] == '{gender}'\")\n", "chart.animate(data_filter)\n" ] }, { "cell_type": "code", "execution_count": null, "id": "e4ded5cf", "metadata": {}, "outputs": [], "source": [ "# display chart with show() method if display=\"manual\"\n", "\n", "# chart.show()\n" ] } ], "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 }