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
- BUG: roll_skew and roll_kurt compute different result when input same data with diffrent length
- DOC/ENH: `Holiday` documentation is missing or hard to find for re-arranged national holidays.
- BUG (Regression): Using a tuple as first column name in empty dataframe creates a non functional dataframe and memory errors
- ENH: Raise better error message when mapping categorical column with a `dict[str, list]` fails when all categories are mapped
- Docs
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