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# Contour Corner Mask

Illustrate the difference between corner_mask=False and corner_mask=True for masked contour plots.

    import matplotlib.pyplot as plt
    import numpy as np

    # Data to plot.
    x, y = np.meshgrid(np.arange(7), np.arange(10))
    z = np.sin(0.5 * x) * np.cos(0.52 * y)

    # Mask various z values.
    mask = np.zeros_like(z, dtype=np.bool)
    mask[2, 3:5] = True
    mask[3:5, 4] = True
    mask[7, 2] = True
    mask[5, 0] = True
    mask[0, 6] = True
    z = np.ma.array(z, mask=mask)

    corner_masks = [False, True]
    for i, corner_mask in enumerate(corner_masks):
        plt.subplot(1, 2, i + 1)
        cs = plt.contourf(x, y, z, corner_mask=corner_mask)
        plt.contour(cs, colors='k')
        plt.title('corner_mask = {0}'.format(corner_mask))

        # Plot grid.
        plt.grid(c='k', ls='-', alpha=0.3)

        # Indicate masked points with red circles.
        plt.plot(np.ma.array(x, mask=~mask), y, 'ro')

    plt.show()

Total running time of the script: ( 0 minutes 0.108 seconds)

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