在python的matplotlib中更新图 [英] Updating a plot in python's matplotlib

问题描述

我正在尝试在matplotlib中绘制流数据.我可以使用交互模式和set_ydata函数来更新绘图.它会设置动画，一切看起来都很好，直到循环结束.然后，python内核崩溃，我得到了以下消息:

I'm trying to plot streaming data in matplotlib. I can update the plot using interactive mode and the set_ydata function. It animates and everything looks good until the loop ends. Then the python kernel crashes and I get this message:

C:\ Conda \ lib \ site-packages \ matplotlib \ backend_bases.py:2437: MatplotlibDeprecationWarning:使用默认事件循环，直到特定于函数 该GUI已实现 warnings.warn(str，mplDeprecation)

C:\Conda\lib\site-packages\matplotlib\backend_bases.py:2437: MatplotlibDeprecationWarning: Using default event loop until function specific to this GUI is implemented warnings.warn(str, mplDeprecation)

这是代码:

import numpy as np
import matplotlib.pyplot as plt

x = np.arange(0, 10, 0.1)
y = np.sin(x)

plt.ion() #interactive mode on
ax = plt.gca()
line, = ax.plot(x,y)
ax.set_ylim([-5,5])

for i in np.arange(100):
    line.set_ydata(y)
    plt.draw()
    y = y*1.01
    plt.pause(0.1)

有人能告诉我为什么这会崩溃而不是退出循环吗?我正在使用Python 3在Jupyter中进行此操作.当然，如果有更好的方法可以做到这一点，我很想听听它.谢谢！

Can anyone tell me why this is crashing instead of just exiting the loop? I'm doing this in Jupyter with Python 3. And of course, if there's a better way to do this, I would love to hear about it. Thanks!

此代码改编自如何在matplotlib中更新图?

推荐答案

与python 3.4中Jupyter笔记本中的mac_osx backend一起使用，对我来说效果很好.

It works well for me with mac_osx backend from Jupyter notebook in python 3.4.

也许您想在末尾添加plt.close()来保持整洁并防止挂断电话?

Maybe you want to add plt.close() at the end to keep things tidy and prevent a hang up?

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