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
- API: `future.default_arg` for method-specific behavior changes
- ENH: Add the `observed` parameter to `get_dummies`
- BUG: inconsistent return types from __getitem__ vs iteration
- BUG: set_index with pyarrow timestamp type does not produce DatetimeIndex
- BUG: `transform("cumcount")` returns a Series instead of a Dataframe.
- Missing check if the renamed column is listed under self._convert_dates() before referring to it leads to a KeyError.
- Initialize empty DataFrame with dataclass
- BUG: multi-index on columns with bool level values does not roundtrip through parquet
- BUG: Parquet roundtrip fails with numerical categorical dtype
- ENH: Support pd.json_normalize for normalizing only meta fields
- Docs
- Python not yet supported