{
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    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
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      },
      "outputs": [],
      "source": [
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# GGPlot\n\nThis example demonstrates the ``ggplot`` style, which adjusts the style to\nemulate ggplot_ (a popular plotting package for R_).\n\nThese settings were shamelessly stolen from [1]_ (with permission).\n\n.. [1] http://www.huyng.com/posts/sane-color-scheme-for-matplotlib/\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import numpy as np\nimport matplotlib.pyplot as plt\n\nplt.style.use(\"ggplot\")\n\n# Fixing random state for reproducibility\nnp.random.seed(19680801)\n\nfig, axes = plt.subplots(ncols=2, nrows=2)\nax1, ax2, ax3, ax4 = axes.ravel()\n\n# scatter plot (Note: `plt.scatter` doesn't use default colors)\nx, y = np.random.normal(size=(2, 200))\nax1.plot(x, y, \"o\")\n\n# sinusoidal lines with colors from default color cycle\nL = 2 * np.pi\nx = np.linspace(0, L)\nncolors = len(plt.rcParams[\"axes.prop_cycle\"])\nshift = np.linspace(0, L, ncolors, endpoint=False)\nfor s in shift:\n    ax2.plot(x, np.sin(x + s), \"-\")\nax2.margins(0)\n\n# bar graphs\nx = np.arange(5)\ny1, y2 = np.random.randint(1, 25, size=(2, 5))\nwidth = 0.25\nax3.bar(x, y1, width)\nax3.bar(\n    x + width,\n    y2,\n    width,\n    color=list(plt.rcParams[\"axes.prop_cycle\"])[2][\"color\"],\n)\nax3.set_xticks(x + width)\nax3.set_xticklabels([\"a\", \"b\", \"c\", \"d\", \"e\"])\n\n# circles with colors from default color cycle\nfor i, color in enumerate(plt.rcParams[\"axes.prop_cycle\"]):\n    xy = np.random.normal(size=2)\n    ax4.add_patch(plt.Circle(xy, radius=0.3, color=color[\"color\"]))\nax4.axis(\"equal\")\nax4.margins(0)\n\nplt.show()"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
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    "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"
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