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: DateOffset does not work with date32[pyarrow] datetypess
- BUG: does .any(axis=1, skipna=False) follow Kleene Logic?
- BUG: df.stack() returns wrong data when NaT is in index (regression since 2.1.0, ok in <= 2.0.3)
- BUG: DataFrame.update() raises FutureWarning due to the use of 'where' method
- BUG: unexpected behavior in read_csv with pyarrow engine and dtype string
- pandas' recommendation on inplace deprecation and categorical column
- BUG: Can't convert `int64[pyarrow]` series with missing values to legacy numpy `float` series
- BUG: DataFrame.from_dict loses bool type with NumPy MaskedArray
- ENH: Adding `pipe` operations to `pandas.api.typing.Rolling` instances
- BUG: possible inconsistency between `inplace=True` and `inplace=False` in `DataFrame.where/mask`
- Docs
- Python not yet supported