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_posts/2022-11-08-pandas-dataframe-output-for-sklearn-transformer.md

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## Video
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<iframe width="560" height="315" src="https://www.youtube.com/embed/5bCg8VfX2x8" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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<iframe width="560" height="315" src="https://www.youtube.com/embed/5bCg8VfX2x8" title="Pandas DataFrame Output for sklearn Transformers" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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## Upcoming feature in release 1.2
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Starting with the next release of [scikit-learn](https://github.com/scikit-learn/scikit-learn) (v1.2), pandas dataframe output will be available for all sklearn transformers! This will make running pipelines on dataframes much easier and provide better ways to track feature names. Previously, mapping a transformed output back into columns would be cumbersome as it might not be a one-to-one mapping in cases of complex preprocessing (e.g., polynomial features).

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