AutoProfile

Profile your Pandas Dataframes! Autoprofiler will automatically visualize your Pandas dataframes after every execution, no extra code necessary.

Autoprofiler shows you things like:

• Distribution of each column
• Sample values
• Summary statistics

Updates profiles as your data updates

Autoprofiler reads your current Jupyter notebook and produces profiles for the Pandas Dataframes in your memory as they change.

Requirements

• JupyterLab >= 3.0
• Pandas

Install

pip install digautoprofile

For development install instructions, see CONTRIBUTING.md.

If you're having install issues, see TROUBLESHOOTING.md.

Acknowledgements

Big thanks to the Rill Data team! Much of our profiler UI code is from Rill Developer.