FEAT-#6498: Make Fold operator more flexible #54
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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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WalkthroughThe recent changes enhance the functionality of the Changes
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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, but there's no validation or error handling for these parameters. Consider adding checks to ensure that these parameters are valid before passing them to the fold method. Also, it would be helpful to add documentation explaining how these parameters affect the resulting DataFrame and what constraints they might have (e.g., length requirements).
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Actionable comments posted: 1
Outside diff range, codebase verification and nitpick comments (1)
modin/core/dataframe/algebra/fold.py (1)
67-70: Enhance documentation fornew_indexandnew_columns.The docstring mentions the new parameters, but it would be helpful to include details about their expected types and any constraints.
Enhance the docstring as follows:
new_index : list-like or pandas.Index, optional The index of the result. Must match the length of the resulting DataFrame. new_columns : list-like or pandas.Index, optional The columns of the result. Must match the width of the resulting DataFrame.
Review details
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Files selected for processing (2)
- modin/core/dataframe/algebra/fold.py (3 hunks)
- modin/core/dataframe/pandas/dataframe/dataframe.py (2 hunks)
Additional comments not posted (3)
modin/core/dataframe/algebra/fold.py (1)
86-87: LGTM! Ensure consistency with thefoldmethod.The integration of
new_indexandnew_columnsinto thefoldmethod call is correct.Ensure that the
foldmethod in thequery_compiler._modin_framecorrectly handles these parameters.modin/core/dataframe/pandas/dataframe/dataframe.py (2)
2344-2354: Ensure consistency in index and columns cache updates.The logic for updating the index and columns caches based on
new_indexandnew_columnsis consistent with the method's purpose.Ensure that similar logic is applied consistently across other methods that handle index and columns updates.
Line range hint
2324-2335: LGTM! Verify handling ofnew_indexandnew_columns.The changes to the
foldmethod are well-implemented, with appropriate handling of the new parameters.Ensure that the logic correctly updates the index and columns caches based on the provided parameters.
Run the following script to verify the handling of
new_indexandnew_columns:Verification successful
Verification of
new_indexandnew_columnsHandling infoldMethodThe
foldmethod inmodin/core/dataframe/pandas/dataframe/dataframe.pycorrectly handles thenew_indexandnew_columnsparameters. It includes conditional logic to update the index and columns caches based on these parameters:
- Index Handling: Checks if
new_indexis provided and updates the index cache accordingly.- Columns Handling: Checks if
new_columnsis provided and updates the columns cache accordingly.These implementations ensure that the method behaves as expected when these optional parameters are used.
Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify the handling of new_index and new_columns in the fold method. # Test: Search for the fold method usage. Expect: Correct handling of new_index and new_columns. ast-grep --lang python --pattern $'def fold($_, $_, new_index=None, new_columns=None):\n $$$\n if new_index is not None:\n $$$\n if new_columns is not None:\n $$$\n'Length of output: 169
Script:
#!/bin/bash # Search for the fold method definition and its usage of new_index and new_columns rg -A 10 'def fold' --glob '*.py'Length of output: 5641
Script:
#!/bin/bash # Search for the full implementation of the fold method to verify handling of new_index and new_columns rg -A 30 'def fold' modin/core/dataframe/pandas/dataframe/dataframe.pyLength of output: 1073
| new_index=None, | ||
| new_columns=None, |
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Add validation for new_index and new_columns.
Consider adding checks to ensure that new_index and new_columns are valid before passing them to the fold method. This will prevent potential runtime errors.
Add validation as follows:
if new_index is not None and not isinstance(new_index, (list, pandas.Index)):
raise ValueError("new_index must be list-like or a pandas Index.")
if new_columns is not None and not isinstance(new_columns, (list, pandas.Index)):
raise ValueError("new_columns must be list-like or a pandas Index.")
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 resulting DataFrame need to be controlled or modified during the fold operation.Summary by CodeRabbit
New Features
new_indexandnew_columnsto thecallerandfoldfunctions, allowing users to customize the resulting DataFrame's structure during operations.Documentation
callerandfoldmethods to clarify the purpose and usage of the new parameters.These enhancements provide users with greater flexibility and control over their data manipulation tasks.