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: subtracting (1, 2) numpy array from (2, 2) dataframe gives ValueError: Unable to coerce to Series, length must be 2: given 1
- Consider to implement analogue of `__make_init_labels_args` function that returns futures
- BUG: `df.astype` alters df to let `df.resample(...).aggregate(...)` fail with KeyError
- BUG: FileNotFoundError on read_csv method with url argument
- BUG: Modin broadcasts incorrectly when doing binary ops on a series and df
- Use Ray design patterns and avoid anti-patterns
- BUG: modin.pandas raises dask error
- Processing huge integers as a `skiprows` parameter work very slowly in `.read_csv()`
- BUG: groupby fails if dataframe has at least one empty partition
- BUG: Modin iloc does not work when setting list as values
- Docs
- Python not yet supported