Measure pandas' type completeness

Here's a utility for measuring pandas' type-completeness.

Usage:

1. Make sure you have Python3.12 installed
2. python3.12 -m venv .venv. I'd suggest not using uv, because uv does some clever caching, and here you'll be adding files to your local site packages.
3. Clone pandas-stubs from https://github.com/pandas-dev/pandas-stubs
4. Install pandas nightly. See https://pandas.pydata.org/docs/getting_started/install.html for how to do that.
5. Run python inline_pandas_stubs.py with your virtual environment activated.
6. Install pyright, polars, and marimo into your virtual environment.
7. Run git clone https://github.com/pandas-dev/pandas.git pandas-dev --depth=1
8. Run python list_public_methods.py. This will generate public_methods.csv with the public methods from the pandas API.
9. Run pyright --verifytypes pandas --ignoreexternal --outputjson > type_report.json
10. Run marimo edit analysis.py.

At the end of the Marimo notebook, there's a cell showing which public functions in pandas has missing types.

Limitations:

• StringMethods (e.g. Series.str.upper) are incorrectly flagged as "type unknown"