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: Interchange with PyArrow types does not match PyArrow behavior
- BUG: NDFrame.__setattr__ calls object.__setattribute__ on the same name, which can cause unexpected behavior (rewrote #56773)
- BUG: df.iloc[:, x] = df.iloc[:, x].apply(int) will failed just and only when `int` in apply()
- BUG: "str.contains" match groups UserWarning discourages best practices & slows performance
- BUG: Concat for two dataframes row-wise fails if one of columns is datetime and iterrows was used
- BUG: `pd.cut` with `IntervalIndex` produces unexpected results when `freq` of data and bins differ
- ENH: background_gradient accepts a normalization parameter
- PERF: Potential room for optimizaing the performance of .loc with big non-unique masked index dataframe
- ENH: Exp function for Series and DataFrame
- TST: test_setitem_integer_with_missing_raises contains duplicate parametrization
- Docs
- Python not yet supported