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: Avoid precision loss for large integral Decimal values in read_sql with coerce_float=True
- DOC: Add note about SQL Server temp table datetime precision loss (#62995)
- BUG: Ensure MultiIndex level order is preserved by name in concat
- DOC: clarify read_xml xpath behavior with default namespace
- BUG: Fix to_csv/astype tz-aware datetime formatting inconsistency
- RLS: 3.0.x releases
- BUG: `DataFrame[StringDtype].where(DataFrame[bool], list[str])` returns object type instead of StringDtype.
- BUG: Raise on nested list w/ dtype producing 2D array in Series constructor
- BUG: reindex (and atleast several other methods) do not respect fill_value=None
- BUG: to_dict(orient='dict') does not convert np.nan to None in Pandas 2.2.3
- Docs
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