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.