.. note:: :class: sphx-glr-download-link-note Click :ref:`here ` 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 :class: sphx-glr-single-img .. code-block:: default import numpy as np import matplotlib.pyplot as plt import matplotlib.animation as animation fig = plt.figure() 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 = plt.imshow(f(x, y), animated=True) 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 # # from matplotlib.animation import FFMpegWriter # writer = FFMpegWriter(fps=15, metadata=dict(artist='Me'), bitrate=1800) # ani.save("movie.mp4", writer=writer) plt.show() .. _sphx_glr_download_gallery_animation_dynamic_image.py: .. only :: html .. container:: sphx-glr-footer :class: sphx-glr-footer-example .. container:: sphx-glr-download :download:`Download Python source code: dynamic_image.py ` .. container:: sphx-glr-download :download:`Download Jupyter notebook: dynamic_image.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature Keywords: matplotlib code example, codex, python plot, pyplot `Gallery generated by Sphinx-Gallery `_