pandas
https://github.com/pandas-dev/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: read_excel with index_col and parse_dates=True fails to create a DatetimeIndex when used with the pyarrow backend
- BUG: SparseArray.mean missing skipna argument
- BUG: DataFrame.fillna() with ArrowDtype(pa.null()) columns causes Arrow C++ assertion failure (core dump)
- BUG: pandas.DataFrame.max fails on datetime64[ns, ...] columns with different time zones and NaT in the data
- BUG: Add skipna argument to SparseArray.mean
- BLD: Add xsimd Dependency and SIMD detection
- REF: Guard ujson refactors against string buffer copy during heap promotion
- BUG: Ensure consistent index naming when merging with empty DataFrames
- BUG: `Series.values` returns inconsistent type (`ndarray` vs `MaskedArray`) depending on whether DataFrame rows are pre-sorted by groupby key
- API: tracker for single-element listlike RHS inconsistency in setitem
- Docs
- Python not yet supported