将 Pip 包传输到 conda

Question

I am currently using a shared Ubuntu machine which has python2.7 and multiple packages installed via pip .

$ python --version
Python 2.7.12

$ pip --version
pip 18.0 from /usr/local/lib/python2.7/dist-packages/pip (python 2.7)

$ pip list
Package                            Version
---------------------------------- -----------
asn1crypto                         0.24.0
awscli                             1.11.101
backports-abc                      0.5
...
..
.

I want to install conda and have Python 2.7 and Python 3.6 environment.

How can I install all the packages currently installed ( pip list ) in both conda env ( 2.7 and 3.6 ) ? I am not concerned with package version. Fine to install the same version or latest version for each package.

Answer 1

Install same versions

First, get a list of packages installed via pip into a file:

pip freeze > packages.txt

Then install them using conda inside your two environments:

conda install --yes --file packages.txt

Install ignoring versions

pip freeze will spit out packages with versions. To remove them, run this instead:

pip freeze | sed s/=.*// > packages.txt

This way you will more likely succeed in installing them using conda without getting dependency conflicts.

Anticipating PackagesNotFoundError

If you have a lot of packages installed, conda might fail to find some of them. In that case, check out this question .

Answer 2

Downloading conda and installing multiple python versions are given here and also you can find many important commands related to conda. https://github.com/Nitish1206/conda_setup_for_ubuntu

Install pip packages in conda via.

*while read requirement; conda install --yes $requirement;or pip install $requirement; end < requirements.txt*