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
- DEPR: integer keys of converters/dtype/na_values as positions among columns read (GH#18566)
- BUG: tz-aware Timestamp with a year outside 1-9999 is stored as year 1970 or 1972 in Series/DatetimeIndex
- BUG: fix tz-aware Timestamps with year outside 1-9999 corrupted in datetime64 storage
- BUG: to_json and then read_json goes wrong for categories created by the cut operation
- TST: Cover assert_series_equal with NumPy masked array input
- BUG: read_csv(engine="pyarrow") silently ignored encoding_errors for bytes input (GH#71298)
- BUG: fix df.shift(freq='D') raising NotImplementedError on empty DataFrame (#71188)
- DOC: pyarrow.Array.to_pandas vs ArrowExtensionArray
- BUG: read_sas xport miscounts rows ending in a blank char value (#71279)
- BUG/DEPR: setitem with `range` indexer does numpy-advanced indexing instead of orthogonal indexing (single block case)
- Docs
- Python not yet supported