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: groupby quantile with non-null NaN and all-NaT groups (GH#64330)
- BUG: cast_from_unit_vectorized near-bounds float overflow (GH#57366)
- DOC: Add default namespace xpath example to read_xml (#63668)
- DOC: Clarify forward-looking rolling window behavior with offset stri…
- PERF: default read_csv parallel workers to physical performance cores
- BUG: `pivot_table` with `margins=True` raises KeyError when dict aggfunc doesn't cover every aggregated column
- BUG: pivot_table with margins=True and dict aggfunc containing a list of functions
- DEPR: deprecate convert_dates and keep_default_dates in read_json (GH#59161)
- BUG: Series.to_json() wraps np.uint64 values ≥ 2**63 in object dtype (GH#66142)
- BUG: `to_json` wraps large `np.uint64` object-dtype scalars as negative ints (#66142)
- Docs
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