seaborn
https://github.com/mwaskom/seaborn
Python
Statistical data visualization in Python
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- Issues
- DOC: Document weight variable in so.Plot.add
- Fix color_palette(as_cmap=True) returning a list instead of a colormap for several palette specs
- Stack levels in the scale order in so.Stack
- Fix catplot crash when plotting an empty DataFrame
- fix(matrix): validate both mask axes
- fix(objects): preserve nonzero baselines when stacking bars
- so.Stack move distorts bar heights and causes the first bar to disappear when baseline is non-zero`
- so.Hist with stat="density" ignores common_norm=True and always computes independent per-group densities`
- Inverted boolean condition in _matrix_mask lets mismatched DataFrame masks bypass validation and crash in numpy.ma.masked_where`
- catplot crashes on empty DataFrame with defined x/y due to has_xy_data property misconception`
- Docs
- Python not yet supported