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: When done as part of pd.Series, `NaN | True` is `False` which contradicts logic
- DEPR: __finalize__ and _metadata
- BUG: After running `to_timestamp` on `Series` with `PeriodIndex`, frequency information is lost
- BUG: `replace` inconsistency with `np.nan` & `pd.NA`
- ENH: Support default protocol option
- BUG: to_excel inserts invalid data if a level in a MultiIndex is None
- BUG: pivot values parameter may break the output dtypes
- BUG: AmbiguousTimeError when resampling "Atlantic/Azores" to weekly resolution
- BUG: Chained loc indexing reversal on dataframe with datetime index has different results than on dataframes with other index types
- BUG: pd.DataFrame.to_csv with escaping produces different output in python 3.10 and 3.11 than 3.8 and 3.9
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- Python not yet supported