Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js
Installation
pip install pivottablejs
Usage
import pandas as pd
df = pd.read_csv("some_input.csv")
from pivottablejs import pivot_ui
pivot_ui(df)Advanced Usage
Include any option to PivotTable.js’s pivotUI() function as a keyword argument.
pivot_ui(df, rows=['row_name'], cols=['col_name'])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.
pivot_ui(df, outfile_path="/x/y.html", url="http://localhost/a/b/x.html")1 maintainer
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