Merge pull request #145 from SangamSwadiK/pandas_output_for_transformers

Add post on Pandas dataframe output for sklearn-transformers

Author: reshamas

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

@@ -0,0 +1,44 @@
+---
+title: "Pandas DataFrame Output for sklearn Transformers"
+date: November 8, 2022
+categories:
+  - Technical
+tags:
+  - performance
+featured-image: pandas_output_sklearn_transformers.PNG
+
+postauthors:
+  - name: Sangam SwadiK
+    website: https://www.linkedin.com/in/sangam-swadi-k/
+    image: sangam_swadik.jpg 
+---
+
+<div>
+  <img src="/assets/images/posts_images/{{ page.featured-image }}" alt="">
+  {% include postauthor.html %}
+</div>
+
+## Video
+<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>
+
+## Upcoming feature in release 1.2
+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).
+
+The pandas dataframe output feature for transformers solves this by tracking features generated from pipelines automatically. The transformer output format can be configured explictly for either **numpy** or **pandas** output formats as shown in [sklearn.set_config](https://scikit-learn.org/dev/modules/generated/sklearn.set_config.html#sklearn.set_config) and the sample code below.
+```python
+from sklearn import set_config
+set_config(transform_output = "pandas")
+```
+
+See the sample notebook, [pandas-dataframe-output-for-sklearn-transformer.ipynb](https://github.com/scikit-learn/blog/blob/main/assets/notebooks/sklearn-pandas-df-output.ipynb) and documentation for a more detailed example and usage.
+
+## Links to documentation and example notebook
+- [Pandas output for transformers documentation](https://scikit-learn.org/dev/auto_examples/miscellaneous/plot_set_output.html#sphx-glr-auto-examples-miscellaneous-plot-set-output-py) 
+- [pandas-dataframe-output-for-sklearn-transformer.ipynb](https://github.com/scikit-learn/blog/blob/main/assets/notebooks/sklearn-pandas-df-output.ipynb)
+
+
+## Reporting bugs
+We'd love your feedback on this. In case of any suggestions or bugs, please report them at
+[scikit-learn issues](https://github.com/scikit-learn/scikit-learn/issues)
+
+Thanks 🙏🏾 to maintainers: [**Thomas J. Fan**](https://github.com/thomasjpfan), [**Guillaume Lemaitre**](https://github.com/glemaitre) , [**Christian Lorentzen**](https://github.com/lorentzenchr) !!