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I am working on developing a python package. I use pip freeze > requirements.txt to add the required package into the requirement.txt file. However, I realized that some of the packages, instead of the package version, have some path in front of them.
numpy==1.19.0 packaging==20.4 pandas @ file:///opt/concourse/worker/volumes/live/38d1301c-8fa9-4d2f-662e-34dddf33b183/volume/pandas_1592841668171/work pandocfilters==1.4.2 Whereas, inside the environment, I get:
>>> pandas.__version__ '1.0.5' Do you have any idea how to address this problem?
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pip freeze might seem very useful initially but it can mess up your project because of the following reasons: It dumps all the libraries installed in your project including dependencies and sub-dependencies in the requirements. txt file. It still misses out on the libraries that are not installed using pip.
The most common command is pip freeze > requirements. txt , which records an environment's current package list into requirements. txt. If you want to install the dependencies in a virtual environment, create and activate that environment first, then use the Install from requirements.
Since pip freeze shows all dependencies as a flat list, finding out which are the top level packages and which packages do they depend on requires some effort. It's also tedious to resolve conflicting dependencies that could have been installed because older version of pip didn't have true dependency resolution [1].
It looks like this is an open issue with pip freeze in version 20.1, the current workaround is to use:
pip list --format=freeze > requirements.txt In a nutshell, this is caused by changing the behavior of pip freeze to include direct references for distributions installed from direct URL references.
You can read more about the issue on GitHub:
pip freeze does not show version for in-place installs
Output of "pip freeze" and "pip list --format=freeze" differ for packages installed via Direct URLs
Better freeze of distributions installed from direct URL references
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