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`
- BUG: df.replace() with list of regex sometimes fails with column of null objects
- BUG: `Series.interpolate` does not interpolate `pd.NA`
- BUG: SIGBUS in test_append_frame_column_oriented, test_select_filter_corner on arm
- 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: `pd.MultiIndex` is not able to display an index containing a particular tuple of string
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