pca: A Python Package for Principal Component Analysis.
Developing new functionalities is really cool. However, when making incremental improvements over time, the code complexity also gradually increases. I took the time to refactor the entire plotting part. When using this version, you likely need to rename some input parameters in your code. But it is worth it because the plots became even more beautiful!
ax
to plotsmultipletests
is set in the predict function and not during initialization anymore.y_proba
is the corrected Pvalue. Praw
is the uncorrected Pvalue in the output dataframes
.c
.fig
can be given as an input parameter to make iterative changes to the plot.Examples can be found here.