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: exclude integer rolling on column from result
- BUG: Clarify Series ndarray subclass assertion message
- BUG: DataFrame.add(fill_value=...) promotes nullable integer dtypes to Float64, inconsistent with Series
- BUG: apply into to nested mappings in to_dict index orient
- BUG: DataFrameGroupBy.__getitem__ with a tuple key on MultiIndex columns
- ENH: Support callable and index=/columns= kwargs in set_axis
- DOC: Clarify passed function usage for DataFrame.agg and Series.agg
- PERF: implement pairwise two-pass with xsimd to reduce moments
- BUG: `DataFrame.to_dict(orient="index", into=...)` does not apply `into` to nested mappings
- BUG: assert_series_equal ignores check_series_type=False for ndarray subclass-backed Series on exact comparison path
- Docs
- Python not yet supported