

.. _sphx_glr_gallery_pylab_examples_masked_demo.py:


===========
Masked Demo
===========

Plot lines with points masked out.

This would typically be used with gappy data, to
break the line at the data gaps.




.. image:: /gallery/pylab_examples/images/sphx_glr_masked_demo_001.png
    :align: center





.. code-block:: python


    import matplotlib.pyplot as plt
    import numpy as np

    x = np.arange(0, 2*np.pi, 0.02)
    y = np.sin(x)
    y1 = np.sin(2*x)
    y2 = np.sin(3*x)
    ym1 = np.ma.masked_where(y1 > 0.5, y1)
    ym2 = np.ma.masked_where(y2 < -0.5, y2)

    lines = plt.plot(x, y, x, ym1, x, ym2, 'o')
    plt.setp(lines[0], linewidth=4)
    plt.setp(lines[1], linewidth=2)
    plt.setp(lines[2], markersize=10)

    plt.legend(('No mask', 'Masked if > 0.5', 'Masked if < -0.5'),
               loc='upper right')
    plt.title('Masked line demo')
    plt.show()

**Total running time of the script:** ( 0 minutes  0.165 seconds)



.. container:: sphx-glr-footer


  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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

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

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