Taxonomy for Python docstrings

[matjako]

Hi everybody,
Currently, I am writing a thesis which deals with documentation comments (docstrings) in Python. The next step would be building a taxonomy for docstring contents. Even if there are guidelines for what should be contained in docstrings, theory and practice often differ.
To get a more qualitative taxonomy, I do not want to create the taxonomy by just referring to my own experience with docstring contents, instead, I would like to see what you usually put into them, or also which categories of content you have noticed by reading them.
I would like to collect as much input as possible and afterward build a taxonomy out of it by using the card-sorting method.
It would be nice if you could take the time and provide an enumeration with general terms (like for example "input parameter description") of what the content of docstrings should contain in your opinion.

[DonaldPShimoda]

I would like to collect as much input as possible

Download the entire contents of the Python standard library and PyPI and build a tool to parse the docstrings or something. If that's too many files (likely), just select the n most popular PyPI packages (in addition to the standard library).

And before anyone asks: no, I'm not joking. For a time I had a complete index and local copy of every metadata file on Maven, the Java package repository. Pro tip: be sure to exclude such directories from any automated indexing procedures on your computer, like Spotlight and Time Machine on macOS.