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: Regression on np.logical_or, it behaves erraticly from 2.0, breaking backwards compatibility
- BUG: infer_objects doesn't infer arrays with pd.NA in it correctly
- BUG (regression): `Enum` (and subclasses) no longer acceptable parameter type for `columns`
- ENH: Raise better error message when mapping categorical column with a `dict[str, list]` fails when all categories are mapped
- EWMA weighted by time with `adjust=True` is flawed, and `adjust=False` is not supported
- BUG: rolling window variance with customized window type behaves badly
- BUG: `MultiIndex.append` now drops names if not the same
- BUG: list output incorrectly reused when calling DataFrame.apply
- BUG: pandas coerces `np.longlong` to `np.int64`
- BUG: `.query()` and `isin()` fail on period type column
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