matplotlib & pandas

Python/matplotlab/gallery/animation/dynamic_image.md

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+# 使用预先计算的图像列表的动画图像
+
+![使用预先计算的图像列表的动画图像示例](https://matplotlib.org/_images/sphx_glr_dynamic_image_001.png)
+
+```python
+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()
+```
+
+## 下载这个示例
+            
+- [下载python源码: dynamic_image.py](https://matplotlib.org/_downloads/dynamic_image.py)
+- [下载Jupyter notebook: dynamic_image.ipynb](https://matplotlib.org/_downloads/dynamic_image.ipynb)