如何为以后腌制或存储Jupyter（IPython）笔记本会话 [英] How to pickle or store Jupyter (IPython) notebook session for later

问题描述

假设我在Jupyter / Ipython笔记本中进行了更大规模的数据分析，并完成了大量耗时的计算。然后，出于某种原因，我必须关闭jupyter本地服务器I，但是我想稍后返回进行分析，而不必再次进行所有耗时的计算。

Let's say I am doing a larger data analysis in Jupyter/Ipython notebook with lots of time consuming computations done. Then, for some reason, I have to shut down the jupyter local server I, but I would like to return to doing the analysis later, without having to go through all the time-consuming computations again.

我想喜欢喜欢做的是 pickle 或存储整个Jupyter会话（所有pandas数据帧，np.arrays，变量......）所以我可以安全地关闭服务器，知道我可以以与以前完全相同的状态返回我的会话。

What I would like love to do is pickle or store the whole Jupyter session (all pandas dataframes, np.arrays, variables, ...) so I can safely shut down the server knowing I can return to my session in exactly the same state as before.

技术上是否可行？是否有我忽略的内置功能？

编辑基于在这个答案中，有％商店 魔术应该是轻量级泡菜。但是你必须像这样手动存储变量：

based on this answer there is a %store magic which should be "lightweight pickle". However you have to store the variables manually like so:

#inside a ipython / nb session

foo =一个虚拟字符串

％store foo

关闭视频，重启内核

％store -r foo ＃r for refresh

print（foo）＃一个虚拟字符串

#inside a ipython/nb session
foo = "A dummy string"
%store foo
closing seesion, restarting kernel
%store -r foo # r for refresh
print(foo) # "A dummy string"

这与我想要的非常接近，但是必须手动完成并且无法区分不同的会话会使它变得不那么有用。

which is fairly close to what I would want, but having to do it manually and being unable to distinguish between different sessions makes it less useful.

推荐答案

我认为Dill很好地回答了你的问题。

I think Dill answers your question well.

pip install dill

保存笔记本会话：

import dill
dill.dump_session('notebook_env.db')

恢复笔记本会话：

import dill
dill.load_session('notebook_env.db')

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