{
  "cells": [
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      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Contour corner mask\n\nIllustrate the difference between ``corner_mask=False`` and\n``corner_mask=True`` for masked contour plots.  The default is controlled by\n:rc:`contour.corner_mask`.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import matplotlib.pyplot as plt\nimport numpy as np\n\n# Data to plot.\nx, y = np.meshgrid(np.arange(7), np.arange(10))\nz = np.sin(0.5 * x) * np.cos(0.52 * y)\n\n# Mask various z values.\nmask = np.zeros_like(z, dtype=bool)\nmask[2, 3:5] = True\nmask[3:5, 4] = True\nmask[7, 2] = True\nmask[5, 0] = True\nmask[0, 6] = True\nz = np.ma.array(z, mask=mask)\n\ncorner_masks = [False, True]\nfig, axs = plt.subplots(ncols=2)\nfor ax, corner_mask in zip(axs, corner_masks):\n    cs = ax.contourf(x, y, z, corner_mask=corner_mask)\n    ax.contour(cs, colors='k')\n    ax.set_title(f'{corner_mask=}')\n\n    # Plot grid.\n    ax.grid(c='k', ls='-', alpha=0.3)\n\n    # Indicate masked points with red circles.\n    ax.plot(np.ma.array(x, mask=~mask), y, 'ro')\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.axes.Axes.contour` / `matplotlib.pyplot.contour`\n   - `matplotlib.axes.Axes.contourf` / `matplotlib.pyplot.contourf`\n\n"
      ]
    }
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