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
- TST: regression test for read_parquet with first batch all-None (GH-55731)
- BUG: read_excel with index_col and parse_dates=True fails to create a DatetimeIndex when used with the pyarrow backend
- BUG: Normalize MaskedArray input to ndarray after construction
- BUG: Ensure consistent index naming when merging with empty DataFrames
- API: tracker for single-element listlike RHS inconsistency in setitem
- BUG: `Series.values` returns inconsistent type (`ndarray` vs `MaskedArray`) depending on whether DataFrame rows are pre-sorted by groupby key
- BUG: Index.get_indexer matches pd.NA against NaN for list input but not ndarray input
- BUG: wrong results with numexpr multiplication
- PERF: Replace dateutil-based parser fallback with a regex-based parser in tslibs.parsing
- BUG: nansem with mask + skipna=False + axis returns scalar nan instead of array
- Docs
- Python not yet supported