问题描述
在C:UsersusernameAppDataLocalcondapkgs
中删除*.tar.gz文件会不会有问题?我还看到相同 Python 包的 Python 子目录,但版本不同(例如,pandas-0.19.2-np111py27_1
、pandas-0.19.2-np111py35_1
、<代码>pandas-0.20.1-np112py27_0、pandas-0.20.1-np112py35_0
、pandas-0.20.1-np112py36_0
、pandas-0.20.2-np112py27_0
、pandas-0.20.2-np112py36_0
、pandas-0.20.2-np113py36_0
).我目前有两个环境(Python 2.7 和 3.6),所以我不想浪费同一个包的不同版本的存储空间,或者我目前没有使用的 Python 版本(我在这里说的是 GB!).是否有删除这些文件/目录的正确方法(这样做是否有问题)?
Would it be a problem to delete *.tar.gz files in C:UsersusernameAppDataLocalcondapkgs
? I also see subdirectories of Python of the same Python package, but in different versions (e.g., pandas-0.19.2-np111py27_1
, pandas-0.19.2-np111py35_1
, pandas-0.20.1-np112py27_0
, pandas-0.20.1-np112py35_0
, pandas-0.20.1-np112py36_0
, pandas-0.20.2-np112py27_0
, pandas-0.20.2-np112py36_0
, pandas-0.20.2-np113py36_0
). I currently have two environments (Python 2.7 and 3.6), so I don't want to be wasting storage with different versions of the same package, or for Python versions I'm not currently using (I'm talking GB here!). Is there a proper way of deleting those files/directories (and is there a problem in doing that)?
推荐答案
您可以在终端中运行 conda clean --tarballs
.
You can run conda clean --tarballs
in your terminal.
https://conda.io/docs/commands/conda-clean.html
这篇关于Anaconda Python:删除 pkgs 中的 .tar.gz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跟版网!