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: CONTAINS_OP run on pd.NA results in pd.NAType.__bool__ call
- BUG: read_csv() raises IndexError when dict supplied as dtype uses integer keys of same sign
- BUG: Unable to use CustomBusinessDays in a MultiIndex
- Potential regression induced by "Refactored pandas_timedelta_to_timedeltastruct"
- BUG: Inconsistent implicit conversion of 1-arrays inside data frames
- BUG: groupby(group_keys=False).apply(func=transform_function) with duplicate index does not preserve original dataframe order
- pd.read_parquet ignore my partition (after repartition ) : ArrowInvalid: No match for FieldRef.Name
- BUG: Regression in v2.2.x Pandas DataFrame Raises a __deepcopy__ error when class placed in `attrs`
- Deprecate accepting None in pd.concat
- BUG: pyarrow.Array.from_pandas converts empty timestamp[s][pyarrow, UTC] pandas Series to ChunkedArray, not TimestampArray
- Docs
- Python not yet supported