.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/plot_image_robust.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_auto_examples_plot_image_robust.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_plot_image_robust.py:


Outlier correction
==================

.. GENERATED FROM PYTHON SOURCE LINES 5-16



.. image-sg:: /auto_examples/images/sphx_glr_plot_image_robust_001.png
   :alt: plot image robust
   :srcset: /auto_examples/images/sphx_glr_plot_image_robust_001.png
   :class: sphx-glr-single-img





.. code-block:: Python


    import matplotlib.pyplot as plt

    import seaborn_image as isns

    img = isns.load_image("polymer outliers")

    f, axes = plt.subplots(1, 2)

    ax0 = isns.imgplot(img, ax=axes[0], cmap="inferno")
    ax1 = isns.imgplot(img, ax=axes[1], robust=True, perc=(2, 99.99), cmap="inferno")


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (0 minutes 0.310 seconds)


.. _sphx_glr_download_auto_examples_plot_image_robust.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: sphx-glr-download sphx-glr-download-jupyter

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

    .. container:: sphx-glr-download sphx-glr-download-python

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


.. only:: html

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

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