pandas
https://github.com/pandas-dev/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
- Potential regression induced by REF: use maybe_convert_objects in pd.array
- String dtype: implement object-dtype based StringArray variant with NumPy semantics
- BUG: identity checking NA in map incorrect
- ENH: Add support for numpy 2's string dtype
- BUG: `pd.infer_freq` incompatible with `Series["timestamp[s][pyarrow]"]`.
- DEPR: nested parse_dates in read_csv
- Bug: fix Series.str.split when 'regex=None' for series having 'pd.ArrowDtype(pa.string())' dtype
- BUG: not reproducible error `FloatingPointError: overflow encountered in multiply` in the following sequence: read_csv followed by to_datetime with pandas version 2.2.2
- BUG: pandas.Grouper should not accept args and kwargs and should have permanent arguments
- BUG: Losing information when handling of `NoneType`s in `pd.json_normalize`
- Docs
- Python not yet supported