

.. _sphx_glr_gallery_images_contours_and_fields_contourf_log.py:


============================
Contourf and log color scale
============================

Demonstrate use of a log color scale in contourf




.. image:: /gallery/images_contours_and_fields/images/sphx_glr_contourf_log_001.png
    :align: center





.. code-block:: python


    import matplotlib.pyplot as plt
    import numpy as np
    from numpy import ma
    from matplotlib import ticker, cm
    from matplotlib.mlab import bivariate_normal

    N = 100
    x = np.linspace(-3.0, 3.0, N)
    y = np.linspace(-2.0, 2.0, N)

    X, Y = np.meshgrid(x, y)

    # A low hump with a spike coming out of the top right.
    # Needs to have z/colour axis on a log scale so we see both hump and spike.
    # linear scale only shows the spike.
    z = (bivariate_normal(X, Y, 0.1, 0.2, 1.0, 1.0)
         + 0.1 * bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0))

    # Put in some negative values (lower left corner) to cause trouble with logs:
    z[:5, :5] = -1

    # The following is not strictly essential, but it will eliminate
    # a warning.  Comment it out to see the warning.
    z = ma.masked_where(z <= 0, z)


    # Automatic selection of levels works; setting the
    # log locator tells contourf to use a log scale:
    fig, ax = plt.subplots()
    cs = ax.contourf(X, Y, z, locator=ticker.LogLocator(), cmap=cm.PuBu_r)

    # Alternatively, you can manually set the levels
    # and the norm:
    #lev_exp = np.arange(np.floor(np.log10(z.min())-1),
    #                    np.ceil(np.log10(z.max())+1))
    #levs = np.power(10, lev_exp)
    #cs = P.contourf(X, Y, z, levs, norm=colors.LogNorm())

    # The 'extend' kwarg does not work yet with a log scale.

    cbar = fig.colorbar(cs)

    plt.show()

**Total running time of the script:** ( 0 minutes  0.315 seconds)



.. only :: html

 .. container:: sphx-glr-footer


  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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


.. only:: html

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

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