The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.
We have variations of the following line commented out:
adjust.df.plot.scatter("cbps_weights", "weight", loglog=True)
(there are two calls for adjust.df.plot.scatter)
It would be nice to find a way to bring the plots back.
Without raising also:
/home/runner/.local/lib/python3.10/site-packages/pandas/plotting/_matplotlib/core.py:1114: UserWarning:
No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored
In this tutorial: https://import-balance.org/docs/tutorials/comparing_cbps_in_r_vs_python_using_sim_data/
We have variations of the following line commented out:
adjust.df.plot.scatter("cbps_weights", "weight", loglog=True)(there are two calls foradjust.df.plot.scatter)It's commented out because otherwise it leads to an error in github pages See: https://github.com/facebookresearch/balance/commit/bc6d4e3063c0bc5ee904773df9dc5c14d512bae8?fbclid=IwAR0rz8HfVzsrjtI3u-lLswQGVdGj4J5r-np4Nj9B2g0nNIoP-MlcUKp5TuU
It was fixed by removing the figures, done here: https://github.com/facebookresearch/balance/commit/90300b2484998dedc6a946011959312e07b9226a
It would be nice to find a way to bring the plots back.
Without raising also: