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: to_datetime wraps datetime64[ps] as if it were datetime64[ns]
- REF: dtype_backend argument in sql module mixes lib.no_default and numpy
- String dtype: use ObjectEngine for indexing for now correctness over performance
- [backport 2.3.x] TST (string dtype): resolve xfails for frame fillna and replace tests + fix bug in replace for string (#60295)
- Add warning for sharex/sharey when subplots=False in plot method
- BUG: fix convert_dtypes to preserve timezone from tz-aware pyarrow timestamp dtype
- BUG: inconsistent treatment of overflows between groupby.sum() and groupby.apply(lambda: _grp: _grp.sum()) and DataFrame.resample
- BUG: spearman correlation doesn't work on non-numeric data
- DOC: v2.2 offline documentation search button not work
- BUG: assignment fails with copy_on_write = True
- Docs
- Python not yet supported