FEAT-#6498: Make Fold operator more flexible #25
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Signed-off-by: Igoshev, Iaroslav <[email protected]>
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Clone of the PR modin-project/modin#7257 |
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Caution Review failedThe pull request is closed. WalkthroughThe recent changes enhance the functionality of the Changes
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| query_compiler._modin_frame.fold( | ||
| cls.validate_axis(fold_axis), | ||
| lambda x: fold_function(x, *args, **kwargs), | ||
| new_index=new_index, | ||
| new_columns=new_columns, | ||
| ) |
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Consider adding error handling around the call to fold_function inside the caller function. If fold_function raises an exception, it will currently propagate up and potentially crash the program. You can wrap the call in a try-except block to catch and handle any exceptions that may occur.
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| def caller( | ||
| query_compiler: PandasQueryCompiler, | ||
| fold_axis: Optional[int] = None, | ||
| new_index=None, | ||
| new_columns=None, | ||
| *args: tuple, | ||
| **kwargs: dict, | ||
| ) -> PandasQueryCompiler: |
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The new parameters new_index and new_columns have been added to the caller function, which is a good addition for flexibility. However, there's no validation or error handling for these new parameters within the function. Consider adding checks to ensure that new_index and new_columns are of the correct type and length before passing them to the fold method. This will prevent potential runtime errors and improve the robustness of the function.
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What do these changes do?
flake8 modin/ asv_bench/benchmarks scripts/doc_checker.pyblack --check modin/ asv_bench/benchmarks scripts/doc_checker.pygit commit -sdocs/development/architecture.rstis up-to-dateDescription by Korbit AI
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What change is being made?
Enhance the
Foldoperator to accept optionalnew_indexandnew_columnsparameters for more flexible result indexing and column labeling.Why are these changes being made?
This change allows users to specify new indices and columns for the result of the
Foldoperation, improving the flexibility and usability of the function. This is particularly useful when the shape or labels of the data change during the operation.Summary by CodeRabbit
New Features
new_indexandnew_columnsin thecallerandfoldmethods, allowing users to customize the structure of the resulting DataFrame.Bug Fixes
new_indexparameter to ensure correct application without length discrepancies.