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: read_orc does not use the provided filesystem for all operations
- BUG: .max() raises exception on Series with object dtype and mixture of Timestamp and NaT: TypeError: '>=' not supported between instances of 'Timestamp' and 'float'
- BUG: numerical inconsistency in calculating rolling kurtosis
- BUG: In `main`, using `resample().interpolate(inplace=True)` raises an exception
- REF/API: make construct_array_type a non-classmethod
- BUG: inconsistent behavior of pandas.api.types.pandas_dtype
- ENH: Add paramenter `index` to `drop_duplicates` to drop duplicate indices
- Potential regression induced by "BUG: Use large_string in string array consistently"
- BUG: Renaming a dataframe columns with a series containing duplicated index corrupts the dataframe
- BUG: pd.DataFrame.set_index() detects "label" input instead of "iterator" when keys argument is a list
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- Python not yet supported