如何在windows10中备份anaconda环境?

拉上拉链是没有意义的 conda 用于备份目的的环境,因为有其他方法可以做到这一点,这可能更合适,并使用专门为此设计的内置函数。

您可以创建 .txt 的版本 康达 环境中的每个模块和版本的详细信息,然后可以用来重新创建 未来的环境。

# Create list of the environment
conda list --explicit environment_backup.txt

# Use the newly created text file to recreate the environment
conda create --name my_env_name --file environment_backup.txt

看到了吗 docs 有关管理的详细信息 康达 环境。

注意。 txt 这里创建的文件大小约为25KB,在将某些内容存档以便安全保存时具有明显的优势。

the anaconda website 已共享。但是,如果您的互联网访问能力有限或没有,则建议使用名为“condapack”的工具(不幸的是,目前使用的是相同的操作系统)。

遵循以下步骤:

conda install -c conda-forge conda-pack

然后在源计算机上:

# Pack environment my_env into my_env.tar.gz
$ conda pack -n my_env

# Pack environment my_env into out_name.tar.gz
$ conda pack -n my_env -o out_name.tar.gz

# Pack environment located at an explicit path into my_env.tar.gz
$ conda pack -p /explicit/path/to/my_env

最后,在目标机器上:

# Unpack environment into directory `my_env`
$ mkdir -p my_env
$ tar -xzf my_env.tar.gz -C my_env

# Use python without activating or fixing the prefixes. Most python
# libraries will work fine, but things that require prefix cleanups
# will fail.
$ ./my_env/bin/python

# Activate the environment. This adds `my_env/bin` to your path
$ source my_env/bin/activate

# Run python from in the environment
(my_env) $ python

# Cleanup prefixes from in the active environment.
# Note that this command can also be run without activating the environment
# as long as some version of python is already installed on the machine.
(my_env) $ conda-unpack

# At this point the environment is exactly as if you installed it here
# using conda directly. All scripts should work fine.
(my_env) $ ipython --version

# Deactivate the environment to remove it from your path
(my_env) $ source my_env/bin/deactivate