{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Bayesian Methods for Hackers style sheet\n\nThis example demonstrates the style used in the Bayesian Methods for Hackers\n[1]_ online book.\n\n.. [1] http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/\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\nplt.style.use('bmh')\n\n\ndef plot_beta_hist(ax, a, b):\n    ax.hist(np.random.beta(a, b, size=10000),\n            histtype=\"stepfilled\", bins=25, alpha=0.8, density=True)\n\n\nfig, ax = plt.subplots()\nplot_beta_hist(ax, 10, 10)\nplot_beta_hist(ax, 4, 12)\nplot_beta_hist(ax, 50, 12)\nplot_beta_hist(ax, 6, 55)\nax.set_title(\"'bmh' style sheet\")\n\nplt.show()"
      ]
    }
  ],
  "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": "3.13.2"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}