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: fix convert_dtypes to preserve timezone from tz-aware pyarrow timestamp dtype
- BUG: inconsistent treatment of overflows between groupby.sum() and groupby.apply(lambda: _grp: _grp.sum()) and DataFrame.resample
- BUG: spearman correlation doesn't work on non-numeric data
- DOC: v2.2 offline documentation search button not work
- BUG: assignment fails with copy_on_write = True
- BUG: Supress `read_json` Spurious `to_datetime` FutureWarning
- API: how to check for "logical" equality of dtypes?
- API: return value of `.values` for Series with the future string dtype (numpy array vs extension array)
- Change default string storage from "python" to "pyarrow" (if installed) for for NA-variant of StringDtype
- BUG: single column DataFrame df.apply(f, raw=True, engine='numba') failed when f is a non-reduction function
- Docs
- Python not yet supported