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

.. only:: html

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

        Click :ref:`here <sphx_glr_download_gallery_images_contours_and_fields_image_nonuniform.py>`
        to download the full example code

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

.. _sphx_glr_gallery_images_contours_and_fields_image_nonuniform.py:


================
Image Nonuniform
================

This illustrates the NonUniformImage class.  It is not
available via an Axes method but it is easily added to an
Axes instance as shown here.

.. GENERATED FROM PYTHON SOURCE LINES 10-69



.. image:: /gallery/images_contours_and_fields/images/sphx_glr_image_nonuniform_001.png
    :alt: NonUniformImage class, nearest, nearest, bilinear, bilinear
    :class: sphx-glr-single-img





.. code-block:: default


    import numpy as np
    import matplotlib.pyplot as plt
    from matplotlib.image import NonUniformImage
    from matplotlib import cm

    interp = 'nearest'

    # Linear x array for cell centers:
    x = np.linspace(-4, 4, 9)

    # Highly nonlinear x array:
    x2 = x**3

    y = np.linspace(-4, 4, 9)

    z = np.sqrt(x[np.newaxis, :]**2 + y[:, np.newaxis]**2)

    fig, axs = plt.subplots(nrows=2, ncols=2, constrained_layout=True)
    fig.suptitle('NonUniformImage class', fontsize='large')
    ax = axs[0, 0]
    im = NonUniformImage(ax, interpolation=interp, extent=(-4, 4, -4, 4),
                         cmap=cm.Purples)
    im.set_data(x, y, z)
    ax.images.append(im)
    ax.set_xlim(-4, 4)
    ax.set_ylim(-4, 4)
    ax.set_title(interp)

    ax = axs[0, 1]
    im = NonUniformImage(ax, interpolation=interp, extent=(-64, 64, -4, 4),
                         cmap=cm.Purples)
    im.set_data(x2, y, z)
    ax.images.append(im)
    ax.set_xlim(-64, 64)
    ax.set_ylim(-4, 4)
    ax.set_title(interp)

    interp = 'bilinear'

    ax = axs[1, 0]
    im = NonUniformImage(ax, interpolation=interp, extent=(-4, 4, -4, 4),
                         cmap=cm.Purples)
    im.set_data(x, y, z)
    ax.images.append(im)
    ax.set_xlim(-4, 4)
    ax.set_ylim(-4, 4)
    ax.set_title(interp)

    ax = axs[1, 1]
    im = NonUniformImage(ax, interpolation=interp, extent=(-64, 64, -4, 4),
                         cmap=cm.Purples)
    im.set_data(x2, y, z)
    ax.images.append(im)
    ax.set_xlim(-64, 64)
    ax.set_ylim(-4, 4)
    ax.set_title(interp)

    plt.show()


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

   **Total running time of the script:** ( 0 minutes  1.243 seconds)


.. _sphx_glr_download_gallery_images_contours_and_fields_image_nonuniform.py:


.. only :: html

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



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

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



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

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


.. only:: html

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

    Keywords: matplotlib code example, codex, python plot, pyplot
    `Gallery generated by Sphinx-Gallery
    <https://sphinx-gallery.readthedocs.io>`_