Enrich The Default Preview of Pandas DataFrame with Jupyter DataTables

Don't print raw DataFrames.

After loading any dataframe in Jupyter, we preview it. But it hardly tells anything about the data.

One has to dig deeper by analyzing it, which involves simple yet repetitive code.

Instead, use Jupyter-DataTables.

It supercharges the default preview of a DataFrame with many common operations.

This includes:

  • sorting

  • filtering

  • exporting

  • plotting column distribution

  • printing data types,

  • pagination, and more.

Check it out here: GitHub.

👉 Over to you: What are some other enriched ways to preview DataFrames in Jupyter?

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Find the code for my tips here: GitHub.

I like to explore, experiment and write about data science concepts and tools. You can read my articles on Medium. Also, you can connect with me on LinkedIn and Twitter.

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