# python-nvd3

**Repository Path**: mirrors_areski/python-nvd3

## Basic Information

- **Project Name**: python-nvd3
- **Description**: Python Wrapper for NVD3 - It's time for beautiful charts
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: develop
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-11-23
- **Last Updated**: 2026-01-04

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

Python Wrapper for NVD3 - It's time for beautiful charts
========================================================

:Description: Python-nvd3 is a wrapper for NVD3 graph library
:NVD3: NVD3 http://nvd3.org/
:D3: Data-Driven Documents http://d3js.org/
:Maintainers: Areski_ & Oz_
:Contributors: `list of contributors <https://github.com/areski/python-nvd3/graphs/contributors>`_

.. _Areski: https://github.com/areski/
.. _Oz: https://github.com/oz123/

.. image:: https://coveralls.io/repos/areski/python-nvd3/badge.png?branch=develop
  :target: https://coveralls.io/r/areski/python-nvd3?branch=develop

.. image:: https://img.shields.io/pypi/v/python-nvd3.svg
  :target: https://pypi.python.org/pypi/python-nvd3/
  :alt: Latest Version

.. image:: https://img.shields.io/pypi/dm/python-nvd3.svg
  :target: https://pypi.python.org/pypi/python-nvd3/
  :alt: Downloads

.. image:: https://img.shields.io/pypi/pyversions/python-nvd3.svg
  :target: https://pypi.python.org/pypi/python-nvd3/
  :alt: Supported Python versions

.. image:: https://img.shields.io/pypi/l/python-nvd3.svg
  :target: https://pypi.python.org/pypi/python-nvd3/
  :alt: License

NVD3 is an attempt to build re-usable charts and chart components
for d3.js without taking away the power that d3.js offers you.

Python-NVD3 makes your life easy! You write Python and the library
renders JavaScript for you!
These graphs can be part of your web application:

 .. image:: https://raw.githubusercontent.com/areski/python-nvd3/develop/docs/showcase/multiple-charts.png


Want to try it yourself? Install python-nvd3, enter your python shell and try this quick demo::

    >>> from nvd3 import pieChart
    >>> chart_name = 'pieChart'
    >>> chart = pieChart(name=chart_name, color_category='category20c', height=450, width=450)
    >>> xdata = ["Orange", "Banana", "Pear", "Kiwi", "Apple", "Strawberry", "Pineapple"]
    >>> ydata = [3, 4, 0, 1, 5, 7, 3]
    >>> extra_serie = {"tooltip": {"y_start": "", "y_end": " cal"}}
    >>> chart.add_serie(y=ydata, x=xdata, extra=extra_serie)
    >>> chart.buildcontent()
    >>> print chart.htmlcontent


This will output the following HTML to render a live chart. The HTML could be
stored into a HTML file, used in a Web application, or even used via Ipython Notebook::

    <div id="pieChart"><svg style="width:450px;height:450px;"></svg></div>
    <script>
    data_pieChart=[{"values": [{"value": 3, "label": "Orange"},
                   {"value": 4, "label": "Banana"},
                   {"value": 0, "label": "Pear"},
                   {"value": 1, "label": "Kiwi"},
                   {"value": 5, "label": "Apple"},
                   {"value": 7, "label": "Strawberry"},
                   {"value": 3, "label": "Pineapple"}], "key": "Serie 1"}];

    nv.addGraph(function() {
        var chart = nv.models.pieChart();
        chart.margin({top: 30, right: 60, bottom: 20, left: 60});
        var datum = data_pieChart[0].values;
                chart.tooltipContent(function(key, y, e, graph) {
                    var x = String(key);
                    var y =  String(y)  + ' cal';
                    tooltip_str = '<center><b>'+x+'</b></center>' + y;
                    return tooltip_str;
                });
            chart.showLegend(true);
            chart.showLabels(true);
            chart.donut(false);
        chart
            .x(function(d) { return d.label })
            .y(function(d) { return d.value });
        chart.width(450);
        chart.height(450);
        d3.select('#pieChart svg')
            .datum(datum)
            .transition().duration(500)
            .attr('width', 450)
            .attr('height', 450)
            .call(chart);
    });
    </script>


Documentation
-------------

Check out the documentation on `Read the Docs`_ for some live Chart examples!

.. _Read the Docs: http://python-nvd3.readthedocs.org


Installation
------------

Install, upgrade and uninstall python-nvd3 with these commands::

    $ pip install python-nvd3
    $ pip install --upgrade python-nvd3
    $ pip uninstall python-nvd3


Dependencies
------------

D3 and NvD3 can be installed through bower (which itself can be installed through npm).
See http://bower.io/ and https://npmjs.org for further information.
To install bower globally execute::

    $ npm install -g bower

Note : you might prefer to save your npm dependencies locally in a ``package.json`` file.

Then in the directory where you will use python-nvd3, just execute the following commands::

    $ bower install d3#3.5.17
    $ bower install nvd3#1.8.6

This will create a directory "bower_components" where d3 & nvd3 will be saved.

Note : you might prefer to save your bower dependencies locally in a ``bower.json`` file.
You can also configure the directory where your bower dependencies will be
saved adding a ``.bowerrc`` file in your project root directory.


Django Wrapper
--------------

There is also a django wrapper for nvd3 available:
https://github.com/areski/django-nvd3


IPython Notebooks
-----------------

Python-NVD3 works nicely within IPython Notebooks (thanks to @jdavidheiser)

See the examples directory for an Ipython notebook with python-nvd3.


License
-------

Python-nvd3 is licensed under MIT, see `MIT-LICENSE.txt`.


Maintainers
-----------

If you want to help maintain this project, please get in touch.