{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Bubble chart\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "The areas of cells can be determined by the `areas` argument.\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import plotly\nimport ptvis\n\n\nelements = list(ptvis.Element)\nareas = list(range(len(elements)))\n\nfig = plotly.graph_objects.Figure()\nptvis.attach_plain_cells(fig, elements, areas=areas)\n\nplotly.io.show(fig)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "It might be nice to\n`change the cell shape\n<sphx_glr_contents_tutorial_generated_plain_01_cell_shape.py>` to\n``\"circle\"``.\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import plotly\nimport ptvis\n\n\nelements = list(ptvis.Element)\nareas = list(range(len(elements)))\n\nfig = plotly.graph_objects.Figure()\nptvis.attach_plain_cells(fig, elements, areas=areas, shape=\"circle\")\n\nplotly.io.show(fig)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "By default, a cell with the maximum value of the `areas` argument has the\nlargest possible area. The value corresponding to the largest possible area\ncan be specified by the `area_max` argument.\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import plotly\nimport ptvis\n\n\nelements = list(ptvis.Element)\nareas = list(range(len(elements)))\n\nfig = plotly.graph_objects.Figure()\nptvis.attach_plain_cells(fig, elements, areas=areas, area_max=200)\n\nplotly.io.show(fig)"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "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": "3.13.3"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}