pandas
https://github.com/pydata/pandas
Python
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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- Issues
- BUG: preserve NaN position in Series.unstack(sort=False)
- BUG: upcast sub-64-bit integer ArrowDtype in cumsum/cumprod to avoid overflow
- BUG: Series.unstack(sort=False) puts the NaN column first while its values stay in place
- BUG: DataFrame.unstack(sort=False) mislabels columns when the unstacked level has unused entries
- BUG: Fix DataFrame.unstack(sort=False) labels with unused levels (GH#66673)
- API: astype to CategoricalDtype matches by lookup instead of casting, so legitimate casts silently become NaN
- BUG cast values before categorical category lookup
- TST: Replace hypothesis with fixed pytest parameterizations
- RLS: 3.1
- TST: Replace hypothesis with fixed pytest parameterizations
- Docs
- Python not yet supported