Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js
pip install pivottablejs
or conda install pivottablejs
Note in the past, the conda
command above installed pivottablejs-airgap instead of this library; apologies for any confusion this change may cause.
Include any JSON-serializable option to PivotTable.js's pivotUI() function as a keyword argument.
Independently control the output file path and the URL used to access it from Jupyter, in case the default relative-URL behaviour is incompatible with Jupyter's settings.