pandas
https://github.com/pandas-dev/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: Index.take respects fill_value and allows fills on integer dtypes
- TST: add test for DataFrame.update with mixed index types and partial…
- Backport PR #56762 on branch 2.3.x (DOC: Avoid requesting data from s3 buckets from our docs)
- BUG: read_csv() into FloatingArrays converts np.nan into pd.NA, even with distinguish_nan_and_na=True
- Fixing issue with distinguish_nan_and_na and read_csv()
- BUILD: Fails with meson 1.11.0
- API: Index.take discards fill_value and raises unnecessarily
- PERF: reduce per-group overhead in groupby.agg with UDFs
- BUG: `DataFrame.agg` with list-like funcs reintroduces filtered columns as `NaN` with `numeric_only=True`
- PERF: pass how=left to _factorize_keys in _left_join_on_index (#65160)
- Docs
- Python not yet supported