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
- DOC: Add an example for .shift(suffix=)
- BUG: Inconsistent NaN detection based on Series dtype, to_numeric dtype_backend, None vs np.nan, strings in orig list
- ENH: Add warning when `DataFrame.groupby` drops NA keys
- BUG: inserting list of strings into Series auto-infers them as datetimes with mixed formats
- BUG: Slower `DataFrame.plot` with `DatetimeIndex`
- BUG: Joining Pandas with Polars dataframe produces fuzzy errormessage
- ENH: ExcelWriter append or create mode
- BUG: Dataframe.aggregate drops pyarrow backend for lambda aggregation functions
- DEPR: PeriodDtype.freq
- REF/API: Move ArrowDtype(pa.foo_string()) into StringDtype(...)
- Docs
- Python not yet supported