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
- BUG: Modin's dtypes cache has extra columns after "inner" concatenation along rows axis
- BUG: Modin's dtypes are different from pandas when a frame is concatenated with an empty Series
- BUG: Modin's dtypes cache has incorrect values when an excel file was read
- BUG: Modin's dtypes cache has incorrect value after binary boolean operations
- BUG: `Series.map` end up with dtypes different from pandas in some corner cases
- BUG: `Series.str.__getitem__` in modin ends up with incorrect dtype if an invalid key was passed
- BUG: Boolean methods of `Series.str` may put incorrect dtype into cache if data has NaNs
- BUG: `Series.str.replace/translate` resulting dtype is different from pandas if an invalid pattern was passed
- BUG: `Series.str.partition` gives incorrect dtype if an invalid separator was passed and `expand=False`
- In some cases `wait_partitions` does not work as expected
- Docs
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