如何让conda虚拟环境持续存在并可用于Jupyter Notebook等工具？ [英] How to make conda virtual environments persistent and available for tools such as Jupyter Notebook?

问题描述

当在shell窗口中激活conda环境时，环境仅在该窗口中处于活动状态（即不是持久的）。因此，当我导航到另一个窗口中的项目位置时，根虚拟环境处于活动状态。

When a conda environment is activated in a shell window, the environment is only active in that window (i.e. not persistent). So when I navigate to the project location in another window, the "root" virtual environment is active.

我是否遗漏了某些内容或这是预期的行为？

Am I missing something or is this the intended behaviour?

如何让Jupyter Notebook等工具访问创建的环境？

How to give tools such as Jupyter Notebook access to the created environment?

推荐答案

注册一个（python）笔记本内核：

假设你创建了一个名为 jupyter-env35 的conda环境 conda create -n jupyter-env35 python = 3.5 现在想在jupyter中使用它。

Register a (python) notebook kernel:

Let's suppose you have created a conda environment named jupyter-env35 with conda create -n jupyter-env35 python=3.5 and now want to use it in jupyter.

安装和注册环境中的python内核将通过图形笔记本界面提供。

Installing and registering a python kernel in the environment will make it available over the graphical notebook interface.

为此，首先安装ipython内核：

To do so, first install the ipython kernel:

conda install -n jupyter-env35 ipykernel

然后激活环境并注册内核：

Then activate the environment and register the kernel:

source activate jupyter-env35
ipython kernel install --user --name jupyter-env35

当你现在启动juypter时，它会显示 jupyter-env35 作为可用内核列表中的内核。如果你选择它，安装在 juypter-env35 中的所有软件包都将可用。

When you now fire up juypter, it will show jupyter-env35 as a kernel in the list of available kernels. If you select it, all packages installed into juypter-env35 will be available.

如果你想从笔记本界面删除内核， jupyter --data-dir ，将打印出jupyter的数据目录。

If you want delete the kernel from the notebook interface, jupyter --data-dir, will print out jupyter's data directory.

导航到打印文件夹，找到子文件夹 kernels 并删除包含内核名称的文件夹（这里 jupyter-env35 ）。之后，内核将不再出现在jupyter中。

Navigate to the printed folder, find the subfolder kernels and delete the folder with the name of your kernel (here jupyter-env35). After that the kernel will not show up in jupyter anymore.

这篇关于如何让conda虚拟环境持续存在并可用于Jupyter Notebook等工具？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！