{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Horizontal bar chart\n\nThis example showcases a simple horizontal bar chart.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import matplotlib.pyplot as plt\nimport numpy as np\n\n# Fixing random state for reproducibility\nnp.random.seed(19680801)\n\nfig, ax = plt.subplots()\n\n# Example data\npeople = ('Tom', 'Dick', 'Harry', 'Slim', 'Jim')\ny_pos = np.arange(len(people))\nperformance = 3 + 10 * np.random.rand(len(people))\nerror = np.random.rand(len(people))\n\nax.barh(y_pos, performance, xerr=error, align='center')\nax.set_yticks(y_pos, labels=people)\nax.invert_yaxis()  # labels read top-to-bottom\nax.set_xlabel('Performance')\nax.set_title('How fast do you want to go today?')\n\nplt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        ".. tags::\n\n   plot-type: bar\n   level: beginner\n\n"
      ]
    }
  ],
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    "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": "3.13.2"
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