.. 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.



.. 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  1.448 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>`_