blocks|key|1955979|text|目前，这也是github+jupyter存储库的一个问题，https://github.com/ipython/ipython/issues/3400除了杀死内核之外，似乎没有确切的解决方案|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1955980|entityMap|0|LINK|mutability|MUTABLE|url|https://github.com/ipython/ipython/issues/3400^0|T|1A|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

Currently this is an issue in the github jupyter repository as well,
<a href="https://github.com/ipython/ipython/issues/3400" rel="noreferrer">https://github.com/ipython/ipython/issues/3400</a>
there seems to be no exact solution for that except killing the kernel

blocks|key|1955943|text|如果您不介意丢失所有当前定义的变量，则转到内核>重新启动将停止执行，而不会关闭笔记本。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1955944|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|$]]

If you're ok with losing all currently defined variables, then going to Kernel > Restart will stop execution without closing the notebook.

blocks|key|1599153|text|最近我也遇到了类似的问题。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1599154|发现Python+https://github.com/ipython/ipython/issues/3400中有一个问题，它已经存在6年多了，，这个问题已经在2020年3月1日得到了解决。|offset|length|style|BOLD|1599155|entityMap|0|LINK|mutability|MUTABLE|url|https://github.com/ipython/ipython/issues/3400^0|0|20|N|9|1A|0|0^^$0|@$1|2|3|4|5|6|7|P|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|Q|8|@$D|R|E|S|F|G]]|9|@$D|T|E|U|1|V]]|A|$]]|$1|H|3|-4|5|6|7|W|8|@]|9|@]|A|$]]]|I|$J|$5|K|L|M|A|$N|O]]]]

Recently I also faced a similar issue. 

Found out that there is an issue in Python <a href="https://github.com/ipython/ipython/issues/3400" rel="noreferrer">https://github.com/ipython/ipython/issues/3400</a> and it was there for 6 some years and it has been resolved as of 1st March 2020.

blocks|key|1956154|text|这里有几个选项：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1956155|数据的文件夹名:如果单元格已经在运行并从特定文件夹中提取数据，则起作用。例如，我有一个For循环，当被中断时，它只会移动到列表中正在处理的下一项。|1956156|1956157|Change单元格中的代码以生成错误:如果单元格尚未运行但刚刚在队列中，则会工作。|unordered-list-item|offset|length|style|BOLD|1956158|1956159|1956160|Restart内核:如果所有其他方法都失败了，则使用|1956161|1956162|entityMap^0|0|0|0|0|11|0|0|0|0|Q|0|0^^$0|@$1|2|3|4|5|6|7|S|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|T|8|@]|9|@]|A|$]]|$1|D|3|-4|5|6|7|U|8|@]|9|@]|A|$]]|$1|E|3|F|5|G|7|V|8|@$H|W|I|X|J|K]]|9|@]|A|$]]|$1|L|3|-4|5|6|7|Y|8|@]|9|@]|A|$]]|$1|M|3|-4|5|6|7|Z|8|@]|9|@]|A|$]]|$1|N|3|O|5|G|7|10|8|@$H|11|I|12|J|K]]|9|@]|A|$]]|$1|P|3|-4|5|6|7|13|8|@]|9|@]|A|$]]|$1|Q|3|-4|5|6|7|14|8|@]|9|@]|A|$]]]|R|$]]

There are a few options here:
<ul>
<li>Change the folder name of data:
Works if the cell is running already and pulling data from a particular folder. For example I had a for loop that when interrupted just moved to the next item in list it was processing.
</li>
<li>Change the code in the cell to generate an error:
Works if the cell has not been run yet but is just in queue.
</li>
<li>Restart Kernel:
If all else fails
</li>
</ul>

blocks|key|4066691|text|如果iPython内核没有死掉，那么您也许能够使用pyrasite将Python代码注入其中，以保存重要数据。您需要以根用户身份安装和运行pyrasite，即根据需要使用sudo+python+-m+pip+install+pyrasite或python3。然后你需要找出iPython内核的进程id+(PID)+(例如通过htop或ps+aux+%7C+grep+ipython)，比如3873。然后，编写一个脚本，将状态保存到文件inject.py中的pickle，例如，它是全局范围内的Pandas+dataframe+df：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|4066692|df.to_pickle("rescued_df.pkl")|code-block|syntax|javascript|4066693|最后，将其注入到流程中，如下所示：|4066694|sudo+pyrasite+3873+inject.py|4066695|您可能需要先启用dtrace，如下所示：|4066696|echo+0+%7C+sudo+tee+/proc/sys/kernel/yama/ptrace_scope|4066697|entityMap|0|LINK|mutability|MUTABLE|url|https://github.com/lmacken/pyrasite^0|2D|Z|3D|7|4I|4|4N|L|5Z|9|79|2|P|8|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|10|8|@$9|11|A|12|B|C]|$9|13|A|14|B|C]|$9|15|A|16|B|C]|$9|17|A|18|B|C]|$9|19|A|1A|B|C]|$9|1B|A|1C|B|C]]|D|@$9|1D|A|1E|1|1F]]|E|$]]|$1|F|3|G|5|H|7|1G|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|1H|8|@]|D|@]|E|$]]|$1|M|3|N|5|H|7|1I|8|@]|D|@]|E|$I|J]]|$1|O|3|P|5|6|7|1J|8|@]|D|@]|E|$]]|$1|Q|3|R|5|H|7|1K|8|@]|D|@]|E|$I|J]]|$1|S|3|-4|5|6|7|1L|8|@]|D|@]|E|$]]]|T|$U|$5|V|W|X|E|$Y|Z]]]]

If the iPython kernel did not die, you might be able to inject Python code into it that saves important data using <a href="https://github.com/lmacken/pyrasite" rel="nofollow noreferrer">pyrasite</a>. You need to install and run pyrasite as root, i.e. with <code>sudo python -m pip install pyrasite</code> or <code>python3</code> as needed. Then you need to figure out the process id (PID) of the iPython kernel (e.g. via <code>htop</code> or <code>ps aux | grep ipython</code>), say 3873. Then, write a script that saves the state for example to a pickle in a file <code>inject.py</code>, say, it is a Pandas dataframe <code>df</code> in the global scope:

<pre><code>df.to_pickle("rescued_df.pkl")
</code></pre>

Finally, and inject it into the process as follows:

<pre><code>sudo pyrasite 3873 inject.py
</code></pre>

You may need to enable dtrace first like so:

<pre><code>echo 0 | sudo tee /proc/sys/kernel/yama/ptrace_scope
</code></pre>

blocks|key|4066746|text|这对我很有效：-让笔记本电脑进入睡眠状态(电源选项之一)-等待10秒-唤醒电脑(带电源按钮)|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4066747|然后内核会说重新连接，它要么被中断，要么你可以按interrupt。|4066748|可能不是愚蠢的证明，但值得一试，这样你就不会浪费以前的计算时间。(我的Windows+10运行的是Jupyter+Notebook，它不会停止运行一段Selenium代码)|4066749|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|$]]

This worked for me:
- Put the laptop to sleep (one of the power options)
- Wait 10 s
- Wake up computer (with power button)

Kernel then says reconnecting and its either interrupted or you can press interrupt.

Probably isn't fool proof but worth a try so you don't waste previous computation time.
(I had Windows 10 running a Jupyter Notebook that wouldn't stop running a piece of Selenium code)

blocks|key|5485302|text|有一件事可能会奏效，那就是多次点击中断。您正在使用的库可能会捕获中断信号，并仅在多次收到该信号后才停止。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|5485303|例如，在使用sklearn的cross_val_score()时，我发现每个交叉验证文件夹都必须中断一次。|5485304|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|$]]

One thing that might work is hitting interrupt a bunch of times. It's possible that a library you are using catches the interrupt signal and only stops after receiving the signal multiple times.
For example, when using sklearn's cross_val_score() I found that I have to interrupt once for each cross validation fold.

blocks|key|5485316|text|您可以通过删除单元格来强制终止。我复制代码，删除单元格，创建一个新单元格，粘贴，然后再次执行。就像一种护身符。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|5485317|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|$]]

You can force the termination by deleting the cell. I copy the code, delete the cell, create a new cell, paste, and execute again. Works like a charm.

blocks|key|4066706|text|我建议重启内核。到时候它就可以使用了。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4066707|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 suggest to restart the kernel. It will be ready to use then .

I have been using Jupyter Notebook for a while. Often when I try to stop a cell execution, interrupting the kernel does not work. In this case, what else can I do, other than just closing the notebook and relaunching it again? I guess this might be a common situation for many people.

How to stop the running cell if interupt kernel does not work in Jupyter Notebook

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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我使用Jupyter Notebook已经有一段时间了。通常，当我试图停止一个单元的执行时，中断内核并不起作用。在这种情况下，除了关闭笔记本并重新启动之外，我还能做什么？我猜这对很多人来说可能是很常见的情况。

问如何在Jupyter Notebook中中断内核不工作时停止正在运行的单元
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