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: `np.where` called with `ps.Series` returns `np.array` instead of `pd.Series`
- BUG: loc __setitem__ uses empty byte values for column unknowns when both rows and columns are added/DataFrame is enlarged
- BUG: loc __setitem__ has incorrect behavior when assigned a DataFrame and new columns and duplicated columns are added.
- BUG: Using `Series.diff()` on a Series with Periods on Windows shows an overflow error
- BUG: incorrect assumption of full-name month format when "May" is initial month
- BUG: Series.str.split broken with pyarrow strings and regex argument
- What's the design decision regarding whether operations can return another backend's object?
- ENH: GroupBy.transform should accept similar arguments to GroupBy.agg
- QST: Why is subtracting pandas.timedelta from pandas.date not vectorized?
- REGR?: ExponentialMovingWindow.aggregate raises on main with np.mean
- Docs
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