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
- UserWarning: Distributing <class 'list'> object. This may take some time. Traceback (most recent call last):
- Support partitioned parquet files
- BUG: after apply modin returns DataFrame, while pandas returns Series
- BUG: compare() check for equal index at API layer doesn't do anything
- Modin on Ray Cluster only running on head node for I/O Operation on TB Scale Parquet data from S3
- BUG: sort_values fails because of TypeError: Cannot cast array data from dtype('<M8[ns]') to dtype('float64') according to the rule 'safe'
- FEAT: Allow custom engine options in to_sql using ModinDatabaseConnection
- Do not trigger `.dtypes` computation on `.astype(dtype)`
- BUG: `df.astype` alters df to let `df.resample(...).aggregate(...)` fail with KeyError
- BUG: FileNotFoundError on read_csv method with url argument
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