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
- PERF: read_csv faster for integer and string columns
- Backport PR #63301 on branch 2.3.x (BUG: pydatetime + Timedelta[non-nano] incorrect results)
- PERF: read_csv parse_dates directly to datetime64 in C parser
- Improve error message clarity in fillna for invalid value types
- PERF: short-circuit sentinel scans on integer indexers
- BUG: fix ArrowExtensionArray constructor raising on np.nan in string sequences
- BUG: preserve IntEnum in DataFrame constructor when dtype=object (GH#59380)
- ENH: `df.duplicated()` default behavior should default to tagging all duplicates as `True`
- MultiIndex: inconsistent 'mixed depth' squeezing behavior across axes, NA types, and operations
- API/BUG: .loc tuple ambiguity with MultiIndex when nlevels == ndim
- Docs
- Python not yet supported