{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Stacked bar chart\n\nThis is an example of creating a stacked bar plot\nusing `~matplotlib.pyplot.bar`.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import matplotlib.pyplot as plt\nimport numpy as np\n\n# data from https://allisonhorst.github.io/palmerpenguins/\n\nspecies = (\n    \"Adelie\\n $\\\\mu=$3700.66g\",\n    \"Chinstrap\\n $\\\\mu=$3733.09g\",\n    \"Gentoo\\n $\\\\mu=5076.02g$\",\n)\nweight_counts = {\n    \"Below\": np.array([70, 31, 58]),\n    \"Above\": np.array([82, 37, 66]),\n}\nwidth = 0.5\n\nfig, ax = plt.subplots()\nbottom = np.zeros(3)\n\nfor boolean, weight_count in weight_counts.items():\n    p = ax.bar(species, weight_count, width, label=boolean, bottom=bottom)\n    bottom += weight_count\n\nax.set_title(\"Number of penguins with above average body mass\")\nax.legend(loc=\"upper right\")\n\nplt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        ".. tags::\n\n   plot-type: bar\n   level: beginner\n\n"
      ]
    }
  ],
  "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": "3.14.6"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}