IPython自动打开matplotlib交互模式 [英] IPython automatically turning on matplotlib interactive mode

问题描述

我正在经历来自IPython的一些新奇的行为.我只需要重新安装miniconda，就可以拥有新的IPython和Matplotlib版本.事实证明，IPython会自动将matplotlib切换到交互模式(这具有使我保存的图形在脚本中为空的烦人的副作用，因为在关闭窗口后它们会保存).

I'm experiencing some newly odd behavior from IPython. I just had to do a clean reinstall of my miniconda, so I now have fresh IPython and Matplotlib versions. It turns out that IPython is automatically switching matplotlib to interactive mode (which has the annoying side effect of making my saved figures blank in my scripts, because they save after I close the window).

这是一个例子:

Python 3.7.3 | packaged by conda-forge | (default, Jul  1 2019, 21:52:21) 
Type 'copyright', 'credits' or 'license' for more information
IPython 7.6.1 -- An enhanced Interactive Python. Type '?' for help.

In [1]: import matplotlib as mpl                                                                                                                              

In [2]: import matplotlib.pyplot as plt                                                                                                                       

In [3]: mpl.is_interactive()                                                                                                                                  
Out[3]: False

In [4]: plt.plot([1,2])                                                                                                                                       
Out[4]: [<matplotlib.lines.Line2D at 0x7f0b0b048940>]

In [5]: mpl.is_interactive()                                                                                                                                  
Out[5]: True

有没有办法阻止这种行为?

Is there a way to stop this behavior?

注意，我已经在常规python中测试了相同的代码，并且交互模式保持关闭状态.

Note, I've tested the same code in regular python and interactive mode stays off.

推荐答案

这是matplotlib和IPython之间相互作用的一个错误，该问题已在matplotlib版本3.1.0中引入(通过#14979 ).

It's a bug in the interplay between matplotlib and IPython, which got introduced in matplotlib version 3.1.0 (via #12637). It will be fixed in matplotlib 3.2 (via #14979).

您拥有的选项:

• 还原为matplotlib 3.0.3
• 使用当前的matplotlib开发版本
• 等待matplotlib 3.2发布(计划于2019年9月)

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