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: Use the modin.dataframe().apply function to generate a large number of shmem
- BUG: DataFrame's behavior of boolean operators doesn't match pandas
- Consider implementing `PandasCSVParser` without reading part of the file into a temporary buffer.
- BUG: Modin compute dtypes cache incorrectly on `.combine_first()`
- BUG: index of dtypes is different from pandas on `.reset_index(drop=False)` with multiindex columns
- BUG: Inserting a column into an empty frame results into different dtypes
- BUG: Modin's dtypes cache contains invalid value after an unsuccessful cast (when `.astype(..., errors="ignore")`)
- 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
- Docs
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