Enhancing Data Handling with scikit-learn’s DataFrame Support

By default, scikit-learn transformers return a NumPy array. This can pose a challenge if a pandas DataFrame is required for subsequent data processing steps.

Luckily, as of scikit-learn version 1.3.2, you can use the set_output method to obtain the results as a pandas DataFrame.

This method is not limited to individual transformers but can also be applied within a scikit-learn pipeline.

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