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: Result datatype is object when concatting decimals of different scales with pyarrow backend.
- BUG: `any()` and `all()` raise with extension strings
- TST: check_freq in assert_index_equal
- BUG: DataFrame.assign accepts 2d arrays for single column value
- BUG: Incorrect parsing of ISO 8601 durations strings in Timedelta constructor
- BUG: pd.DataFrame.from_dict with a numpy masked array of dtype=object produces NaN instead of None.
- ENH: InvalidIndexError using at for multiple assignment
- API: dtype_backend and constructors long-term
- ENH: Read first n_rows of Parquet File
- BUG: Series name impacts groupby function
- Docs
- Python not yet supported