https://github.com/nicolaskruchten/jupyter_pivottablejs

Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js
https://github.com/nicolaskruchten/jupyter_pivottablejs

data-analysis data-science interactive jupyter-notebook pivot-chart pivot-tables

Last synced: 29 days ago
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Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js

• Host: GitHub
• URL: https://github.com/nicolaskruchten/jupyter_pivottablejs
• Owner: nicolaskruchten
• License: other
• Created: 2015-09-09T13:39:18.000Z (about 9 years ago)
• Default Branch: master
• Last Pushed: 2024-03-15T12:50:01.000Z (8 months ago)
• Last Synced: 2024-09-30T09:26:22.632Z (about 1 month ago)
• Topics: data-analysis, data-science, interactive, jupyter-notebook, pivot-chart, pivot-tables
• Language: Python
• Homepage: http://nicolas.kruchten.com/content/2015/09/jupyter_pivottablejs/
• Size: 32.2 KB
• Stars: 684
• Watchers: 21
• Forks: 88
• Open Issues: 25
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE.md

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• awesome-jupyter-resources - GitHub - 29% open · ⏱️ 04.12.2018): (交互式小部件和可视化)
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README

        
``pivottablejs``: the Python module

===================================

Drag’n’drop Pivot Tables and Charts for `Jupyter/IPython Notebook`_,

care of `PivotTable.js`_

.. image:: https://mybinder.org/badge_logo.svg

   :target: https://mybinder.org/v2/gh/nicolaskruchten/jupyter_pivottablejs/master?filepath=example%2Fjupyter_pivottablejs_example.ipynb

Installation

------------

``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.

Usage

-----

.. code:: python

    import pandas as pd

    df = pd.read_csv("some_input.csv")

    from pivottablejs import pivot_ui

    pivot_ui(df)

Advanced Usage

--------------

Include any `JSON-serializable option to PivotTable.js's pivotUI() function`_ as a keyword argument.

.. code:: python

    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.

.. code:: python

    pivot_ui(df, outfile_path="/x/y.html", url="http://localhost/a/b/x.html")

.. _Jupyter/IPython Notebook: http://jupyter.org/

.. _PivotTable.js: https://github.com/nicolaskruchten/pivottable

.. _pivottablejs-airgap: https://github.com/ContinuumIO/pivottablejs-airgap

.. _JSON-serializable option to PivotTable.js's pivotUI() function: https://github.com/nicolaskruchten/pivottable/wiki/Parameters#options-object-for-pivotui