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: self,_box_pa throws unique error when passed categorical or interval dtype
- API/DEPR: disallow casting nan-float to bool
- ENH: Prevent filling in `unstack()`
- BUG: StringArray with NA behaves different to numpy object array for elementwise comparisons
- BUG: timeseries (tz-aware) .plot() fails if timeseries begin is at edge of DST change-over
- BUG: Inconsistency between `Series[float].__rfloordiv__([timedelta])` and `rfloordiv` and further
- BUG: ExcelFile.parse sets sheet.max_row and sheet.max_column to None
- BUG: `.loc[:, [*labels]]` inconsistently reorders `MultiIndex`ed `Series` and `DataFrame`s
- BUG: `.dt.seconds` Discrepancy Between NumPy and PyArrow Timedelta Dtypes
- BUG: `DataFrame.apply(axis='columns')` loses pyarrow-backed dtypes / does not preserve dtype_backend
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- Python not yet supported