Metadata-Version: 2.1
Name: bqplot
Version: 0.12.6
Summary: Interactive plotting for the Jupyter notebook, using d3.js and ipywidgets.
Home-page: https://github.com/bloomberg/bqplot
Author: The BQplot Development Team
Author-email: UNKNOWN
License: Apache
Keywords: ipython,jupyter,widgets,graphics,plotting,d3
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Multimedia :: Graphics
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Requires-Dist: ipywidgets (>=7.5.0)
Requires-Dist: traitlets (>=4.3.0)
Requires-Dist: traittypes (>=0.0.6)
Requires-Dist: numpy (>=1.10.4)
Requires-Dist: pandas


BQPlot
======

Plotting system for the Jupyter notebook based on the interactive Jupyter widgets.

Installation
============

.. code-block:: bash

    pip install bqplot
    jupyter nbextension enable --py bqplot


Usage
=====

.. code-block:: python

    from bqplot import pyplot as plt
    import numpy as np

    plt.figure(1)
    n = 200
    x = np.linspace(0.0, 10.0, n)
    y = np.cumsum(np.random.randn(n))
    plt.plot(x,y, axes_options={'y': {'grid_lines': 'dashed'}})
    plt.show()