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/57962 loc iterable assignment
- REF: standardize Arrow validation with _validate_scalar/_validate_setitem_value
- BUG: nansem with mask + skipna=False + axis returns scalar nan instead of array
- DOC: `to_numeric` "Returns" is missing Index and scalars, may have other problems
- BUG: nansem with mask + skipna + axis={0,1} returns scalar np.nan instead of array of np.nan
- BUG: Fix Behavior Change from #64366 Regarding NaN Handling With Mask
- DOC: Document pyarrow vs python string storage differences (#63105)
- DOC: fix to_numeric docstring - add Index/scalar return types, fix dtype_backend description
- BUG: fixed inconsistency in the behaviour of DatetimeIndex.is_year_start on the frequency "BYS"
- PERF: speed up read_sas string columns
- Docs
- Python not yet supported