conda“基础”环境和“根”环境之间有什么区别？ [英] What is the difference between conda 'base' and 'root' enviroments?

问题描述

我最近一直在努力整理我的conda环境。我结束了重新安装miniconda的工作，现在我处在一个不错的位置。

I have recently been pulling my hair out trying to organize my conda environments. I ended up reinstalling miniconda and I'm in a good spot.

我的问题是，当我运行 conda env list 我得到：

My question is this, when I run conda env list I get:

# conda environments:
#
base                  *  /Users/rheft/miniconda3
sonny36                  /Users/rheft/miniconda3/envs/sonny36

我希望 root 包含在此处。此外，当我从jupyter笔记本中查看conda环境时，列出了3种环境。

I would expect "root" to be included here. Further more when I look at my conda environments from inside jupyter notebooks there are 3 environments listed.

root         -- /Users/rheft/miniconda3
miniconda3   -- /Users/rheft/miniconda3
sonny36      -- /Users/rheft/miniconda3/envs/sonny36

我的问题是为什么<我运行 conda env list 时不显示code> root 吗？尽管一切正常，但是我想删除重复的环境，如果有什么建议？

My question is why is it that root doesn't show when I run conda env list? Although everything works correctly, I would like to remove the duplicated environment if possible, any suggestions?

非常感谢！

推荐答案

root 是主环境的旧名称（conda 4.4之前的版本）；在conda 4.4之后，它被重命名为 base 。您拥有名为 root 的Jupyter环境的原因很可能是因为您安装了带有该名称的内核。

root is the old (pre-conda 4.4) name for the main environment; after conda 4.4, it was renamed to be base. Most likely the reason you have a Jupyter environment named root is because you have a kernel installed with that name in it.

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