feat: add dataframe operations component #5341
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src/backend/base/langflow/components/processing/dataframe_operations.py:207
- The columns_to_select input should be split by a delimiter (e.g., comma) before stripping. Use columns = [col.strip() for col in self.columns_to_select.split(',')] to ensure correct column selection.
columns = [col.strip() for col in self.columns_to_select]
src/backend/base/langflow/components/processing/dataframe_operations.py
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Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
….py` * **Import modules** - Import `pytest` and `pandas` for testing DataFrame operations * **Define test cases** - Define test cases for edge cases like empty DataFrames and invalid column names - Include tests for operations like "Head", "Tail", and "Replace Value" - Use `pytest.mark.parametrize` to test multiple operations with different inputs - Add detailed assertions to verify the correctness of DataFrame operations
…tions.py`. This deletion includes all unit tests related to various DataFrame operations such as adding, dropping, filtering, and renaming columns, as well as handling edge cases like empty DataFrames and invalid operations. The removal streamlines the test suite by eliminating outdated or redundant tests.
- Introduced a new test file for organizing test components. - Updated import paths for to reflect the new module structure. - Refactored test cases to use for better readability and maintainability. - Enhanced assertions in tests for various DataFrame operations, including handling of empty DataFrames and invalid operations. - Improved code formatting for consistency and clarity.
…intainability - Consolidated import statements for clarity. - Renamed variable `df` to `dataframe_copy` for better understanding. - Streamlined the `perform_operation` method by replacing `elif` with `if` statements for clearer logic flow. - Enhanced error message for unsupported operations to improve debugging. These changes aim to enhance the code structure and make future modifications easier.
…ons.py` - Modified expected values in parameterized tests for various DataFrame operations, including "Add Column", "Filter", "Sort", "Head", "Tail", and "Replace Value" to reflect new test scenarios. - Adjusted assertions to ensure they correctly validate the output of operations, particularly for lists of expected values. - Enhanced error handling in the test for invalid operations to provide clearer feedback on unsupported operation types. These changes improve the accuracy and robustness of the unit tests for DataFrame operations.
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* add dataframe operations component * populate entire new column with value Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * [autofix.ci] apply automated fixes * Add unit tests for DataFrame operations in `test_dataframe_operations.py` * **Import modules** - Import `pytest` and `pandas` for testing DataFrame operations * **Define test cases** - Define test cases for edge cases like empty DataFrames and invalid column names - Include tests for operations like "Head", "Tail", and "Replace Value" - Use `pytest.mark.parametrize` to test multiple operations with different inputs - Add detailed assertions to verify the correctness of DataFrame operations * [autofix.ci] apply automated fixes * Remove test cases for DataFrame operations from `test_dataframe_operations.py`. This deletion includes all unit tests related to various DataFrame operations such as adding, dropping, filtering, and renaming columns, as well as handling edge cases like empty DataFrames and invalid operations. The removal streamlines the test suite by eliminating outdated or redundant tests. * Add unit tests for DataFrame operations in - Introduced a new test file for organizing test components. - Updated import paths for to reflect the new module structure. - Refactored test cases to use for better readability and maintainability. - Enhanced assertions in tests for various DataFrame operations, including handling of empty DataFrames and invalid operations. - Improved code formatting for consistency and clarity. * Refactor DataFrameOperationsComponent for improved readability and maintainability - Consolidated import statements for clarity. - Renamed variable `df` to `dataframe_copy` for better understanding. - Streamlined the `perform_operation` method by replacing `elif` with `if` statements for clearer logic flow. - Enhanced error message for unsupported operations to improve debugging. These changes aim to enhance the code structure and make future modifications easier. * Update unit tests for DataFrame operations in `test_dataframe_operations.py` - Modified expected values in parameterized tests for various DataFrame operations, including "Add Column", "Filter", "Sort", "Head", "Tail", and "Replace Value" to reflect new test scenarios. - Adjusted assertions to ensure they correctly validate the output of operations, particularly for lists of expected values. - Enhanced error handling in the test for invalid operations to provide clearer feedback on unsupported operation types. These changes improve the accuracy and robustness of the unit tests for DataFrame operations. * Refactor DataFrameOperationsComponent methods to return DataFrame instances consistently --------- Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
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This pull request adds a new component to handle various operations on DataFrames in the
langflowlibrary. The main changes include the addition of a new class,DataFrameOperationsComponent, which supports multiple DataFrame operations and dynamically updates its configuration based on the selected operation.New Component Addition:
src/backend/base/langflow/components/processing/dataframe_operations.py: Introduced theDataFrameOperationsComponentclass, which includes support for operations such as adding, dropping, filtering, renaming, sorting columns, and more. The component dynamically updates its input fields based on the selected operation.Key features of the new component: