.. _sphx_glr_gallery_images_contours_and_fields_contour_corner_mask.py:


===================
Contour Corner Mask
===================

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




.. image:: /gallery/images_contours_and_fields/images/sphx_glr_contour_corner_mask_001.png
    :align: center





.. code-block:: python

    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=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  0.057 seconds)



.. only :: html

 .. container:: sphx-glr-footer


  .. container:: sphx-glr-download

     :download:`Download Python source code: contour_corner_mask.py <contour_corner_mask.py>`



  .. container:: sphx-glr-download

     :download:`Download Jupyter notebook: contour_corner_mask.ipynb <contour_corner_mask.ipynb>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.readthedocs.io>`_