.. 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

    .. meta::
        :keywords: codex

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

        :ref:`Go to the end <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 10-70



.. image-sg:: /gallery/images_contours_and_fields/images/sphx_glr_image_nonuniform_001.png
   :alt: NonUniformImage class, nearest, nearest, bilinear, bilinear
   :srcset: /gallery/images_contours_and_fields/images/sphx_glr_image_nonuniform_001.png, /gallery/images_contours_and_fields/images/sphx_glr_image_nonuniform_001_2_00x.png 2.00x
   :class: sphx-glr-single-img





.. code-block:: Python


    import matplotlib.pyplot as plt
    import numpy as np

    from matplotlib import cm
    from matplotlib.image import NonUniformImage

    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, layout='constrained')
    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.add_image(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.add_image(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.add_image(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.add_image(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 1.720 seconds)


.. _sphx_glr_download_gallery_images_contours_and_fields_image_nonuniform.py:

.. only:: html

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

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

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

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

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


.. only:: html

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

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