modin
https://github.com/modin-project/modin
Python
Modin: Scale your Pandas workflows by changing a single line of code
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- Issues
- FEAT: Support opportunistically switching backends pre- or post- some operations
- REFACTOR: Do not keep both dataframe and query compiler fields in _LocIndexer and _IlocIndexer
- BUG: Creating empty unidist dataframes in benchmarkmode makes Modin get stuck
- Support reader for apache iceberg
- BUG: automatic backend switching doesn't work well when extensions have different signatures than the original method
- BUG: `modin.pandas.concat` on dict of dataframes behaves different from default `pandas.concat` if the dict keys are tuples
- BUG: Conversion of Modin to Pandas causes "AttributeError: 'numpy.ndarray' object has no attribute 'categories'"
- BUG: We do not respect semantics of to_numpy(copy=False) and np.array(copy=False) (the latter only available on numpy >= 2.1)
- BUG: AttributeError: Can only use .cat accessor with a 'category' dtype
- BUG: QueryCompilerCaster breaks NamedTuple arguments
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- Python not yet supported