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        "\n# Hatchcolor Demo\n\nThe color of the hatch can be set using the *hatchcolor* parameter. The following\nexamples show how to use the *hatchcolor* parameter to set the color of the hatch\nin `~.patches.Patch` and `~.collections.Collection`.\n\nSee also :doc:`/gallery/shapes_and_collections/hatch_demo` for more usage examples\nof hatching.\n\n## Patch Hatchcolor\n\nThis example shows how to use the *hatchcolor* parameter to set the color of\nthe hatch in a rectangle and a bar plot. The *hatchcolor* parameter is available for\n`~.patches.Patch`, child classes of Patch, and methods that pass through to Patch.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
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        "import matplotlib.pyplot as plt\nimport numpy as np\n\nimport matplotlib.cm as cm\nfrom matplotlib.patches import Rectangle\n\nfig, (ax1, ax2) = plt.subplots(1, 2)\n\n# Rectangle with red hatch color and black edge color\nax1.add_patch(Rectangle((0.1, 0.5), 0.8, 0.3, hatch=\".\", hatchcolor='red',\n                        edgecolor='black', lw=2))\n# If hatchcolor is not passed, the hatch will match the edge color\nax1.add_patch(Rectangle((0.1, 0.1), 0.8, 0.3, hatch='x', edgecolor='orange', lw=2))\n\nx = np.arange(1, 5)\ny = np.arange(1, 5)\n\nax2.bar(x, y, facecolor='none', edgecolor='red', hatch='//', hatchcolor='blue')\nax2.set_xlim(0, 5)\nax2.set_ylim(0, 5)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Collection Hatchcolor\n\nThe following example shows how to use the *hatchcolor* parameter to set the color of\nthe hatch in a scatter plot. The *hatchcolor* parameter can also be passed to\n`~.collections.Collection`, child classes of Collection, and methods that pass\nthrough to Collection.\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
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      "source": [
        "fig, ax = plt.subplots()\n\nnum_points_x = 10\nnum_points_y = 9\nx = np.linspace(0, 1, num_points_x)\ny = np.linspace(0, 1, num_points_y)\n\nX, Y = np.meshgrid(x, y)\nX[1::2, :] += (x[1] - x[0]) / 2  # stagger every alternate row\n\n# As ax.scatter (PathCollection) is drawn row by row, setting hatchcolors to the\n# first row is enough, as the colors will be cycled through for the next rows.\ncolors = [cm.rainbow(val) for val in x]\n\nax.scatter(\n    X.ravel(),\n    Y.ravel(),\n    s=1700,\n    facecolor=\"none\",\n    edgecolor=\"gray\",\n    linewidth=2,\n    marker=\"h\",  # Use hexagon as marker\n    hatch=\"xxx\",\n    hatchcolor=colors,\n)\nax.set_xlim(0, 1)\nax.set_ylim(0, 1)\n\nplt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        ".. admonition:: References\n\n   The use of the following functions, methods, classes and modules is shown\n   in this example:\n\n   - `matplotlib.patches`\n   - `matplotlib.patches.Polygon`\n   - `matplotlib.axes.Axes.add_patch`\n   - `matplotlib.axes.Axes.bar` / `matplotlib.pyplot.bar`\n   - `matplotlib.collections`\n   - `matplotlib.axes.Axes.scatter` / `matplotlib.pyplot.scatter`\n\n"
      ]
    }
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