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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")
Release History

Release History

This version
History Node

0.7.0

History Node

0.6.0

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0.5.0

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0.4.0

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0.3.0

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0.2.0

History Node

0.1.0

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
pivottablejs-0.7.0-py2.py3-none-any.whl (4.6 kB) Copy SHA256 Checksum SHA256 py2.py3 Wheel May 12, 2017
pivottablejs-0.7.0.tar.gz (3.5 kB) Copy SHA256 Checksum SHA256 Source May 12, 2017

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