How can you "clone" a conda environment into the root environment?

mikal94305 picture mikal94305 · Nov 20, 2016 · Viewed 56.8k times · Source

I'd like the root environment of conda to copy all of the packages in another environment. How can this be done?

Answer

pylang picture pylang · Nov 20, 2016

There are options to copy dependency names/urls/versions to files.

Recommendation

Normally it is safer to work from a new environment rather than changing root. However, consider backing up your existing environments before attempting changes. Verify the desired outcome by testing these commands in a demo environment. To backup your root env for example:

λ conda activate root
λ conda env export > environment_root.yml
λ conda list --explicit > spec_file_root.txt

Options

Option 1 - YAML file

Within the second environment (e.g. myenv), export names+ to a yaml file:

λ activate myenv
λ conda env export > environment.yml  

then update the first environment+ (e.g. root) with the yaml file:

λ conda env update --name root --file environment.yml     

Option 2 - Cloning an environment

Use the --clone flag to clone environments (see @DevC's post):

λ conda create --name myclone --clone root

This basically creates a direct copy of an environment.


Option 3 - Spec file

Make a spec-file++ to append dependencies from an env (see @Ormetrom):

λ activate myenv
λ conda list --explicit > spec_file.txt
λ conda install --name root --file spec_file.txt

Alternatively, replicate a new environment (recommended):

λ conda create --name myenv2 --file spec_file.txt

See Also

  • conda env for more details on the env sub-commands.
  • Anaconada Navigator desktop program for a more graphical experience.
  • Docs on updated commands. With older conda versions use activate (Windows) and source activate (Linux/Mac OS).
  • Discussion on keeping conda env

+Conda docs have changed since the original post; links updated. ++Spec-files only work with environments created on the same OS. Unlike the first two options, spec-files only capture links to conda dependencies; pip dependencies are not included.