blocks|key|2243088|text|我也有同样的错误信息。我删除了anaconda，安装了miniconda，并重新安装了py魅力。当我运行python控制台和调试控制台时，退出代码139都出现了。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2243089|现在，当我导入matplotlib时，仍然会得到以下消息：|2243090|后端Qt4Agg是交互式后端。开启互动模式。|2243091|GIO消息:使用“内存”GSettings后端。您的设置将不会被保存或与其他应用程序共享。|2243092|我想这并不理想，但我没有得到一个退出代码，而且一切似乎都正常。这是一个解决办法，但必须有一个更有力的办法。|2243093|entityMap^0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|M|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|N|8|@]|9|@]|A|$]]|$1|F|3|G|5|6|7|O|8|@]|9|@]|A|$]]|$1|H|3|I|5|6|7|P|8|@]|9|@]|A|$]]|$1|J|3|-4|5|6|7|Q|8|@]|9|@]|A|$]]]|K|$]]

I had the same error message. I deleted anaconda and installed miniconda instead and reinstalled pycharm. The exit code 139 came both when I was running a python console as well as the debugging console.

Now when I import matplotlib, I still get the messages:

Backend Qt4Agg is interactive backend. Turning interactive mode on.

GLib-GIO-Message: Using the 'memory' GSettings backend. Your settings will not be saved or shared with other applications.

I guess thats not ideal but I am not getting an exit code and everything seems to work. It is a solution, but there must be a more robust way.

blocks|key|2243219|text|有点晚了，但这可能对一些谷歌人有帮助。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2243220|Qt会导致这个问题。默认情况下，PyCharm使用-=auto运行。如果安装了用于Qt4和Qt5的python绑定，则自动函数可能不会选择正确的Qt版本。尝试在PyCharm设置中设置正确的Qt绑定(构建，Ex.->+Python调试器-+PyQt兼容)|2243221|设置从汽车到PyQt4在conda环境下为我工作，没有删除任何东西。|2243222|entityMap^0|0|0|0^^$0|@$1|2|3|4|5|6|7|H|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|I|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|J|8|@]|9|@]|A|$]]|$1|F|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|G|$]]

A bit late but it might help some googler.

Qt can cause this Problem. PyCharm runs with --qt-support=auto by default. 
If you have python bindings for Qt4 and Qt5 installed the auto function might not choose the correct version of Qt.
Try to set the correct Qt bindings in PyCharm Settings (Build, Ex... -> Python Debugger - PyQt Compatible)

Setting from Auto to PyQt4 worked for me in conda environment, without removing anything.

blocks|key|3923893|text|我设法摆脱了分段错误和代码139，通过取消PyCharm设置中的Qt框(Build，Ex.->+Python调试器)我的使用场景:使用远程解释器运行一些代码。只为了一些人物需要材料库。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3923894|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

I managed to get rid of the segfault and code 139, by unticking the Qt box in PyCharm Settings (Build, Ex... -> Python Debugger). 
My usage scenario: running some code with a remote interpreter. Needed matplotlib just for some figure.

blocks|key|2243268|text|一个快速和肮脏的工作是将Qt后端切换到另一个后端。例如，在导入Matplotlib之后立即添加：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2243269|matplotlib.use('TkAgg')|offset|length|style|CODE|2243270|您可能需要使用另一个available+backends。|2243271|如果您有各种带有Matplotlib依赖项的模块，并且不想污染您的代码，或者如果您是一个团队成员，那么最好在您的matplotlibrc中更改后端。您可以找到您正在使用的matplotlibrc：|2243272|import+matplotlib
print(matplotlib.matplotlib_fname())|code-block|syntax|javascript|2243273|entityMap|0|LINK|mutability|MUTABLE|url|https://stackoverflow.com/questions/5091993/list-of-all-available-matplotlib-backends|1|https://matplotlib.org/users/customizing.html^0|0|0|N|0|A|I|0|0|1K|C|1K|C|1|0|0^^$0|@$1|2|3|4|5|6|7|10|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|11|8|@$D|12|E|13|F|G]]|9|@]|A|$]]|$1|H|3|I|5|6|7|14|8|@]|9|@$D|15|E|16|1|17]]|A|$]]|$1|J|3|K|5|6|7|18|8|@$D|19|E|1A|F|G]]|9|@$D|1B|E|1C|1|1D]]|A|$]]|$1|L|3|M|5|N|7|1E|8|@]|9|@]|A|$O|P]]|$1|Q|3|-4|5|6|7|1F|8|@]|9|@]|A|$]]]|R|$S|$5|T|U|V|A|$W|X]]|Y|$5|T|U|V|A|$W|Z]]]]

A quick and dirty work-around is to switch out the Qt backend for another one. For example, add this immediately after importing Matplotlib:

<code>matplotlib.use('TkAgg')</code>

You may want to use another one of the <a href="https://stackoverflow.com/questions/5091993/list-of-all-available-matplotlib-backends">available backends</a>.

If you have various modules with Matplotlib dependencies and you don't want to pollute your code, or if you're on a team, it would be better to change the backend in your <a href="https://matplotlib.org/users/customizing.html" rel="nofollow noreferrer"><code>matplotlibrc</code></a>. You can find which matplotlibrc you're using with:

<pre><code>import matplotlib
print(matplotlib.matplotlib_fname())
</code></pre>

blocks|key|3923784|text|在我删除了pyqt5绑定之后，我的就成功了。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3923785|sudo+apt-get+remove+python3-pyqt5|offset|length|style|CODE|3923786|entityMap^0|0|0|X|0^^$0|@$1|2|3|4|5|6|7|J|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|K|8|@$D|L|E|M|F|G]]|9|@]|A|$]]|$1|H|3|-4|5|6|7|N|8|@]|9|@]|A|$]]]|I|$]]

Mine worked after I removed pyqt5 bindings.

<code>sudo apt-get remove python3-pyqt5</code>

blocks|key|2243168|text|我的案子是因为熊猫的包装。可能是在线程处理中执行数据访问(不支持？！)。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2243169|要找到你的原因，请这样做：|2243170|gdb+python
(gdb)+script.py|code-block|syntax|javascript|2243171|(当它崩溃时)|2243172|where|2243173|这将显示堆栈跟踪。在我的示例中，numpy中缺少的文件由以下方法修复：|2243174|pip安装--升级熊猫|blockquote|2243175|entityMap^0|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|T|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|U|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|V|8|@]|9|@]|A|$G|H]]|$1|I|3|J|5|6|7|W|8|@]|9|@]|A|$]]|$1|K|3|L|5|F|7|X|8|@]|9|@]|A|$G|H]]|$1|M|3|N|5|6|7|Y|8|@]|9|@]|A|$]]|$1|O|3|P|5|Q|7|Z|8|@]|9|@]|A|$]]|$1|R|3|-4|5|6|7|10|8|@]|9|@]|A|$]]]|S|$]]

Im my case it was due to the pandas package. Probably it was doing dataframes in threading (not supported?!).

To find your cause, do this:

<pre><code>gdb python
(gdb) script.py
</code></pre>

(and when it crashes)

<pre><code>where
</code></pre>

This will show the stack trace. In my case a missing file in numpy, which was fixed by:

<blockquote>
 pip install --upgrade pandas
</blockquote>

blocks|key|3923989|text|导入matplotlib|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3923990|然后用这个句子..。matplotlib.use('TkAgg')|3923991|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|F|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|G|8|@]|9|@]|A|$]]|$1|D|3|-4|5|6|7|H|8|@]|9|@]|A|$]]]|E|$]]

import matplotlib

then using this sentence...
matplotlib.use('TkAgg')

In PyCharm (community edition 2016.2.3), using anaconda2 + ubuntu 14.04, <code>import matplotlib</code> causes a signal 11 error during the debug mode. There is no problem when executing the script in release mode.

The python code:

<pre><code>import matplotlib as pt
</code></pre>

The debug console:

<blockquote>
 Connected to pydev debugger (build 162.1967.10)
 GLib-GIO-Message: Using the 'memory' GSettings backend. Your settings will not be saved or shared with other applications.
 Backend Qt4Agg is interactive backend. Turning interactive mode on.
 
 Process finished with exit code 139 (interrupted by signal 11: SIGSEGV)
</blockquote>

PyCharm debug segmentation fault (signal 11)

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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在PyCharm (community 2016.2.3)中，使用anaconda2 +ubuntu14.04，import matplotlib会在调试模式下导致信号11错误。在发布模式下执行脚本时没有问题。python代码：import matplotlib as pt调试控制台：连接到pydev调试器(build 162.1967.10) GLib消息:使用“内存”GSettings后端。您

问PyCharm调试分段故障(信号11)
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