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        "\n# Box plots with custom fill colors\n\nTo color each box of a box plot individually:\n\n1) use the keyword argument ``patch_artist=True`` to create filled boxes.\n2) loop through the created boxes and adapt their color.\n"
      ]
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    {
      "cell_type": "code",
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      "source": [
        "import matplotlib.pyplot as plt\nimport numpy as np\n\nnp.random.seed(19680801)\nfruit_weights = [\n    np.random.normal(130, 10, size=100),\n    np.random.normal(125, 20, size=100),\n    np.random.normal(120, 30, size=100),\n]\nlabels = ['peaches', 'oranges', 'tomatoes']\ncolors = ['peachpuff', 'orange', 'tomato']\n\nfig, ax = plt.subplots()\nax.set_ylabel('fruit weight (g)')\n\nbplot = ax.boxplot(fruit_weights,\n                   patch_artist=True,  # fill with color\n                   tick_labels=labels)  # will be used to label x-ticks\n\n# fill with colors\nfor patch, color in zip(bplot['boxes'], colors):\n    patch.set_facecolor(color)\n\nplt.show()"
      ]
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    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        ".. tags:: styling: color, domain: statistics, plot-type: boxplot\n\n.. admonition:: References\n\n   The use of the following functions, methods, classes and modules is shown\n   in this example:\n\n   - `matplotlib.axes.Axes.boxplot` / `matplotlib.pyplot.boxplot`\n\n"
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