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
- .add gives incorrect result with MI Dataframe with mix of object and datetimes on index.
- pd.Series.str accessor in pd.DataFrame.query(engine="numexpr") raises TypeError
- DataFrame.columns.slice_locs() is undocumented, ignores 'step' parameter or gives wrong result, `kind` parameter does nothing
- ENH: Supporting rolling aggregations of datetime data
- API: getting the "densified" values of a Categorical (preserving categories dtype) ?
- Inconsistent behaviour of __getitem__ and .loc with slices for DataFrames with MultiIndex columns
- unhelpful error message with DataFrame constructor and integer MultiIndex DataFrame
- CI: how to ensure certain tests have been run
- ENH: Implementing NEP 18's __array_function__
- SparseArrays backed by other Extension array/dtype ?
- Docs
- Python not yet supported