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PivotTable.js is a Javascript Pivot Table and Pivot Chart library with drag-drop interactivity, and it can now be used with Jupyter/IPython Notebook via the pivottablejs module. I first built PivotTable.js with a plan to build an in-browser data analysis tool, and got as far as one where you could load up a CSV file in the browser for display. Since then, however, the Jupyter project has gathered steam and now provides a browser-based interface to some of the most powerful data processing libraries in the world, so it makes sense to interface with it.
Features
- Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js
- To use PivotTable.js from Jupyter, first install it with pip install pivottablejs
- The pivottablejs Python module is available from PyPi under the same free MIT license as PivotTable.js
- Documentation available
- Examples available
- Licensed under the MIT License
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