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
- ENH: Add a Series method which checks whether a Series is constant
- ENH: generalize `__init__` on a `dict` to `abc.collections.Mapping` and `__getitem__` on a `list` to `abc.collections.Sequence`
- WEB: Refine PDEP presentation
- BUG: 2-sided inplace drop loses freq in DatetimeIndex
- 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
- Docs
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