關於conda 的收集

2. 移植conda環境

conda env export -n py37 --from-history > env.yml
conda env create -f env.yml

If you want to make your environment file work across platforms, you can use

conda env export --from-history

This will only include packages that you've explicitly asked for, as opposed to including every package in your environment.

You can also create a new environment and update it.

conda env update -n py37 --file ~/env.yml  --prune

 

1. 可以在以下路徑找.condarc

if on_win:
SEARCH_PATH = (
     'C:/ProgramData/conda/.condarc',
     'C:/ProgramData/conda/condarc',
     'C:/ProgramData/conda/condarc.d',
)
else:
SEARCH_PATH = (
     '/etc/conda/.condarc',
     '/etc/conda/condarc',
     '/etc/conda/condarc.d/',
     '/var/lib/conda/.condarc',
     '/var/lib/conda/condarc',
     '/var/lib/conda/condarc.d/',
  )

SEARCH_PATH += (
     '$CONDA_ROOT/.condarc',
     '$CONDA_ROOT/condarc',
     '$CONDA_ROOT/condarc.d/',
     '~/.conda/.condarc',
     '~/.conda/condarc',
     '~/.conda/condarc.d/',
     '~/.condarc',
     '$CONDA_PREFIX/.condarc',
     '$CONDA_PREFIX/condarc',
     '$CONDA_PREFIX/condarc.d/',
     '$CONDARC',
)

CONDA_ROOT is conda 安裝路徑. CONDA_PREFIX is 當前啓用環境的路徑(conda env list可看).

 

 

英文見https://docs.conda.io/projects/conda/en/latest/user-guide/configuration/use-condarc.html#id4