"""
=================
An animated image
=================

This example demonstrates how to animate an image.
"""
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)

im = plt.imshow(f(x, y), animated=True)


def updatefig(*args):
    global x, y
    x += np.pi / 15.
    y += np.pi / 20.
    im.set_array(f(x, y))
    return im,

ani = animation.FuncAnimation(fig, updatefig, interval=50, blit=True)

ani.save('dynamic_image.mp4', fps=15)

plt.show() 

E:\____\dynamic_image.py:31: UserWarning: 
    frames=None which we can infer the length of, did not pass an explicit 
    *save_count* and passed cache_frame_data=True.  
    To avoid a possibly unbounded cache, frame data caching has been disabled. 
    To suppress this warning either pass `cache_frame_data=False` or 
    `save_count=MAX_FRAMES`.
  ani = animation.FuncAnimation(fig, updatefig, interval=50, blit=True) 

"""
=================
An animated image
=================

This example demonstrates how to animate an image.
"""
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)

im = plt.imshow(f(x, y), animated=True)


def updatefig(*args):
    global x, y
    x += np.pi / 15.
    y += np.pi / 20.
    im.set_array(f(x, y))
    return im,

ani = animation.FuncAnimation(fig, updatefig, interval=50, 
                                   blit=True, save_count=900 )

ani.save('dynamic_image_2.mp4', fps=15)

plt.show() 

• 2023/11/07 Ver=1.04 Python 3.12.0 (matplotlib 3.8.1)で確認
• 2023/11/07 Ver=1.04 Python 3.11.6 (matplotlib 3.7.1)で確認
• 2023/03/26 Ver=1.03 Python 3.11.2 で確認
• 2020/10/29 Ver=1.01 Python 3.7.8 で確認
• 2018/11/18 Ver=1.01 初版リリース

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