如何从 Jupyter 4.x 获取 IPython 配置文件行为? [英] How do I get IPython profile behavior from Jupyter 4.x?

问题描述

官方(?)建议运行 IPython Notebook 服务器，并通过

There was official(?) recommendation of running an IPython Notebook server, and creating a profile via

$ ipython profile create nbserver

按照 http://ipython.org/ipython-doc/1 中的推荐/interactive/public_server.html.这允许在通过 ipython notebook 和 ipython notebook --profile=nbserver 启动 IPython Notebook 时出现非常不同且非常有用的行为.

as recommended in http://ipython.org/ipython-doc/1/interactive/public_server.html. This allowed for very different and very useful behavior when starting an IPython Notebook via ipython notebook and ipython notebook --profile=nbserver.

在 Jupyter 4.0 中，发生了变化，不再有配置文件.我找到了对话 https://gitter.im/ipython/ipython/archives/2015/05/29 其中有用户 minrk 说:

With Jupyter 4.0, there's a change and there are no longer profiles. I've found the conversation https://gitter.im/ipython/ipython/archives/2015/05/29 which has user minrk saying:

.ipython 目录中有几样东西:

The .ipython directory has several things in it:

多个配置目录(称为配置文件)

multiple config directories (called profiles)

一个 'data' 目录，包含诸如 kernelspecs、nbextensions 之类的内容

one 'data' directory, containing things like kernelspecs, nbextensions

运行时信息分散在各处，但主要在配置文件中

runtime info scattered throughout, but mostly in profiles

Jupyter 遵循更适合平台的约定:

Jupyter follows more platform-appropriate conventions:

JUPYTER_CONFIG_DIR 的一个配置目录，默认:.jupyter

one config dir at JUPYTER_CONFIG_DIR, default: .jupyter

JUPYTER_DATA_DIR 的一个数据目录，默认:特定于平台

one data dir at JUPYTER_DATA_DIR, default: platform-specific

一个运行时目录位于 JUPYTER_RUNTIME_DIR，默认:特定于平台

one runtime dir at JUPYTER_RUNTIME_DIR, default: platform-specific

还有一个相当隐晦的评论:

And a rather cryptic remark:

如果您想使用不同的配置，请使用 JUPYTER_CONFIG_DIR=whatever 指定不同的配置目录

If you want to use different config, specify a different config directory with JUPYTER_CONFIG_DIR=whatever

获得不同行为的最佳方法是什么(例如，作为服务器运行与正常使用之间)?

What's the best way to get different behavior (say, between when running as a server vs normal usage)?

它是否涉及运行类似的东西:

Will it involve running something like:

$ export JUPYTER_CONFIG_DIR=~/.jupyter-nbserver
$ jupyter notebook

何时需要运行服务器配置文件"?和

whenever a server 'profile' needs to be run? and

$ export JUPYTER_CONFIG_DIR=~/.jupyter
$ jupyter notebook

何时需要运行正常"配置文件?因为那看起来很可怕.在 Jupyter 4.0 中执行此操作的最佳方法是什么?

whenever a 'normal' profile needs to run? Because that seems terrible. What's the best way to do this in Jupyter 4.0?

推荐答案

使用这篇博文中的一些代码 http://www.svds.com/jupyter-notebook-best-practices-for-data-science/ 并更新它.最简单的解决方案似乎是创建一个别名，例如:

Using some code from this blog post http://www.svds.com/jupyter-notebook-best-practices-for-data-science/ and updating it. The easiest solution appears to be to create an alias, like:

alias jupyter-nbserver='JUPYTER_CONFIG_DIR=~/.jupyter-nbserver jupyter notebook'

所以现在您可以通过简单的命令 jupyter-nbserver 使用不同的配置运行 jupyter notebook.

So now you can run the jupyter notebook with a different config via the simple command jupyter-nbserver.

更强大的解决方案可能涉及创建一个更改环境变量的 bash 函数，检查是否有配置文件，如果没有创建，则执行，但这可能有点过头了.我在这个相关问题上给出的答案 https://stackoverflow.com/a/32516200/246856 用于创建新配置文件"的初始配置文件.

A more robust solution might involve creating a bash function that changes the environment variable, checks whether there's a config file, if not creating one, then executing, but that's probably overkill. The answer that I give on this related question https://stackoverflow.com/a/32516200/246856 goes into creating the initial config files for a new 'profile'.

这篇关于如何从 Jupyter 4.x 获取 IPython 配置文件行为?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！