我一直在调整此页面 http://jakevdp.github.io/blog/2012/08/18/matplotlib-animation-tutorial/ 中的代码制作我自己的动画，但它很快就崩溃了。查看任务管理器，我可以看到运行该程序所增加的内存在 30 秒内上升到 1GB，这对于我的笔记本电脑来说非常重要。从代码每次调用 animation(i) 设置 y_data 的方式来看，旧数据是否没有被替换，导致内存堆积？我想解决这个问题。我对 matplotlib 内部工作原理的了解有限，我尝试过将 close()、clf() 和 gc.collect() 放入 animation(i) 中，但它们都不起作用。
"""
Matplotlib Animation Example
author: Jake Vanderplas
email: vanderplas@astro.washington.edu
website: http://jakevdp.github.com
license: BSD
Please feel free to use and modify this, but keep the above information. Thanks!
"""
import numpy as np
from matplotlib import pyplot as plt
from matplotlib import animation
# First set up the figure, the axis, and the plot element we want to animate
fig = plt.figure()
ax = plt.axes(xlim=(0, 2), ylim=(-2, 2))
line, = ax.plot([], [], lw=2)
# initialization function: plot the background of each frame
def init():
line.set_data([], [])
return line,
# animation function. This is called sequentially
def animate(i):
x = np.linspace(0, 2, 1000)
y = np.sin(2 * np.pi * (x - 0.01 * i))
line.set_data(x, y)
return line,
# call the animator. blit=True means only re-draw the parts that have changed.
anim = animation.FuncAnimation(fig, animate, init_func=init,
frames=200, interval=20, blit=True)
# save the animation as an mp4. This requires ffmpeg or mencoder to be
# installed. The extra_args ensure that the x264 codec is used, so that
# the video can be embedded in html5. You may need to adjust this for
# your system: for more information, see
# http://matplotlib.sourceforge.net/api/animation_api.html
# anim.save('basic_animation.mp4', fps=30, extra_args=['-vcodec', 'libx264'])
plt.show()
最佳答案
默认情况下，动画代码会尝试保存一定数量的帧(默认为 100)。尝试将其显式设置为零:
anim = animation.FuncAnimation(fig, animate, init_func=init,
frames=200, interval=20, blit=True,
save_count=0)
关于python - matplotlib 动画的内存使用，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/19646520/