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: Allow custom engine options in to_sql using ModinDatabaseConnection
- Consider rename `kwargs` parameter in `broadcast_axis_partitions` function to align with `apply_func_args` param
- Do not trigger `.dtypes` computation on `.astype(dtype)`
- BUG: Shallow copy in Modin doesn't copy 'dtypes' when pandas do.
- 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: Error message for KeyError slightly inconsistent with pandas
- Use `enum` instead of a string value for a query compiler's shape hint
- BUG: `df.astype` alters df to let `df.resample(...).aggregate(...)` fail with KeyError
- [REFACTOR] Move the logic of dtypes determination for binary operations from API layer to the algebra layer
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