36

我发现了这个关于动画的精彩简短教程：

http://jakevdp.github.io/blog/2012/08/18/matplotlib-animation-tutorial/

但是我无法制作相同方式的动画 imshow() 图。我试图替换一些行：

# First set up the figure, the axis, and the plot element we want to animate
fig = plt.figure()
ax = plt.axes(xlim=(0, 10), ylim=(0, 10))
#line, = ax.plot([], [], lw=2)
a=np.random.random((5,5))
im=plt.imshow(a,interpolation='none')
# initialization function: plot the background of each frame
def init():
    im.set_data(np.random.random((5,5)))
    return im

# animation function.  This is called sequentially
def animate(i):
    a=im.get_array()
    a=a*np.exp(-0.001*i)    # exponential decay of the values
    im.set_array(a)
    return im

但我遇到了错误你能帮我把它运行起来吗？先感谢您。最好的，

4

2 回答 2

33

你非常接近，但有一个错误 -init应该animate返回包含正在动画的艺术家的迭代。这就是为什么在 Jake 的版本中它们返回line,（实际上是一个元组）而不是line（它是一个单行对象）。可悲的是，文档对此并不清楚！

您可以像这样修复您的版本：

# initialization function: plot the background of each frame
def init():
    im.set_data(np.random.random((5,5)))
    return [im]

# animation function.  This is called sequentially
def animate(i):
    a=im.get_array()
    a=a*np.exp(-0.001*i)    # exponential decay of the values
    im.set_array(a)
    return [im]
于 2013-06-20T12:07:55.040 回答
18

这是一个完整的例子：

# Usually we use `%matplotlib inline`. However we need `notebook` for the anim to render in the notebook.
%matplotlib notebook

import random
import numpy as np

import matplotlib
import matplotlib.pyplot as plt

import matplotlib.animation as animation


fps = 30
nSeconds = 5
snapshots = [ np.random.rand(5,5) for _ in range( nSeconds * fps ) ]

# First set up the figure, the axis, and the plot element we want to animate
fig = plt.figure( figsize=(8,8) )

a = snapshots[0]
im = plt.imshow(a, interpolation='none', aspect='auto', vmin=0, vmax=1)

def animate_func(i):
    if i % fps == 0:
        print( '.', end ='' )

    im.set_array(snapshots[i])
    return [im]

anim = animation.FuncAnimation(
                               fig, 
                               animate_func, 
                               frames = nSeconds * fps,
                               interval = 1000 / fps, # in ms
                               )

anim.save('test_anim.mp4', fps=fps, extra_args=['-vcodec', 'libx264'])

print('Done!')

# plt.show()  # Not required, it seems!
于 2019-07-29T18:18:38.870 回答