.. only:: html

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

        Click :ref:`here <sphx_glr_download_gallery_animation_dynamic_image.py>`     to download the full example code
    .. rst-class:: sphx-glr-example-title

    .. _sphx_glr_gallery_animation_dynamic_image.py:


=================================================
Animated image using a precomputed list of images
=================================================



.. image:: /gallery/animation/images/sphx_glr_dynamic_image_001.png
    :alt: dynamic image
    :class: sphx-glr-single-img






.. code-block:: default


    import numpy as np
    import matplotlib.pyplot as plt
    import matplotlib.animation as animation

    fig, ax = plt.subplots()


    def f(x, y):
        return np.sin(x) + np.cos(y)

    x = np.linspace(0, 2 * np.pi, 120)
    y = np.linspace(0, 2 * np.pi, 100).reshape(-1, 1)

    # ims is a list of lists, each row is a list of artists to draw in the
    # current frame; here we are just animating one artist, the image, in
    # each frame
    ims = []
    for i in range(60):
        x += np.pi / 15.
        y += np.pi / 20.
        im = ax.imshow(f(x, y), animated=True)
        if i == 0:
            ax.imshow(f(x, y))  # show an initial one first
        ims.append([im])

    ani = animation.ArtistAnimation(fig, ims, interval=50, blit=True,
                                    repeat_delay=1000)

    # To save the animation, use e.g.
    #
    # ani.save("movie.mp4")
    #
    # or
    #
    # writer = animation.FFMpegWriter(
    #     fps=15, metadata=dict(artist='Me'), bitrate=1800)
    # ani.save("movie.mp4", writer=writer)

    plt.show()


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

   **Total running time of the script:** ( 0 minutes  1.241 seconds)


.. _sphx_glr_download_gallery_animation_dynamic_image.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: dynamic_image.py <dynamic_image.py>`



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

     :download:`Download Jupyter notebook: dynamic_image.ipynb <dynamic_image.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>`_