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: handle pyarrow-engine read_csv upstream-limitation xfails
- BUG: read_csv(engine="pyarrow") parse_dates does not parse numeric-looking dates
- BUG:
- BUG: Segfault constructing pd.Timedelta with numpy 2.3.x/2.4.x on Python 3.14 (pandas 3.0.4)
- BUG: pd.to_datetime segfaults on Series of duplicated ISO8601 strings (regression in 3.0.4)
- BUG: pd.date_range(freq='h') produces astronomically large freq on Python 3.14, causing OverflowError
- BLD: exclude numpy 2.5.0 when building wheels (py3.14 segfault)
- BUG: pivot_table margins drop valid rows when dropna=True and aggfunc is dict (GH#65765)
- BUG: Segfault constructing pd.Timedelta on Python 3.14 (pandas 3.0.4, regression from 3.0.3)
- PERF: groupby _factorize_monotonic with freq attribute
- Docs
- Python not yet supported