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: Consistent `name` property for the iterates in `DataFrameGroupBy`
- BUG: Fails to Build on Raspberry Pi 3 (tested both 2.1.4, 2.3.1 and main Branch)
- BUG: NaN categorical in multi-level column gets replaced in to_excel output
- BUG: `pandas.date_range()` raises `NonExistentTimeError` despite `nonexistent="shift_forward"` when crossing DST boundaries
- ENH: : Add header Autofilter and optional bold via engine_kwargs in to_excel
- BUG: Series with NA values are replaced with NaN when mapping over categorial data with a default providing dictionary
- ENH: Add primary_key and auto_increment parameters to DataFrame.to_sql()
- ENH: Add right argument to pandas.qcut to support left-inclusive binning #62938
- BUG: Inconsistency of `BooleanArray.__and__` with `pd.NA` and `[pd.NA]`
- BUG(pandas 3.0 regression): `drop(index=...)` doesn't accept NA values when using arrow dtype in index
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- Python not yet supported