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
- Potential regression induced by "Cython guard against [c|m|re]alloc failures"
- BUG: itemsize wrong for date32[day][pyarrow] dtype?
- ENH: Add split method to DataFrame for flexible row-based partitioning
- ENH: Rename internal `DataFrame._append()`
- BUG: pd.read_csv error when parse_dates used on index_col for dtype_backend="pyarrow"
- BUG: Inconsistent implicit conversion of 1-arrays inside data frames
- BUG: `NotImplementedError |S8` when converting categories from object containing byte arrays to bytes
- 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: pandas pivot_table count over a dataframe with 2 columns results in empty dataset when using aggfunc="count"
- Docs
- Python not yet supported