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
- ENH: Provide a Consistent Round-Trip Contract for Axis Metadata Across Excel and Other IO Formats
- BUG: boolean-mask operations on a null-dtype ArrowDtype column abort the process (SIGABRT)
- BUG: bypass pc.replace_with_mask for null-dtype ArrowDtype to prevent SIGABRT (GH#66703)
- 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
- Docs
- Python not yet supported