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PivotTable.js integration for Jupyter/IPython Notebook

Project description

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")

Project details


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Filename, size & hash SHA256 hash help File type Python version Upload date
pivottablejs-0.9.0-py2.py3-none-any.whl (4.7 kB) Copy SHA256 hash SHA256 Wheel py2.py3 Jan 15, 2018
pivottablejs-0.9.0.tar.gz (3.6 kB) Copy SHA256 hash SHA256 Source None Jan 15, 2018

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