Metadata-Version: 2.1
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Name: bqplot
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Version: 0.12.6
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Summary: Interactive plotting for the Jupyter notebook, using d3.js and ipywidgets.
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Home-page: https://github.com/bloomberg/bqplot
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Author: The BQplot Development Team
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Author-email: UNKNOWN
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License: Apache
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Keywords: ipython,jupyter,widgets,graphics,plotting,d3
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Platform: UNKNOWN
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Classifier: Development Status :: 4 - Beta
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Classifier: Intended Audience :: Developers
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Classifier: Intended Audience :: Science/Research
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Classifier: Topic :: Multimedia :: Graphics
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Classifier: License :: OSI Approved :: Apache Software License
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Classifier: Programming Language :: Python :: 2
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Classifier: Programming Language :: Python :: 2.7
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: 3.3
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Classifier: Programming Language :: Python :: 3.4
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Classifier: Programming Language :: Python :: 3.5
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Requires-Dist: ipywidgets (>=7.5.0)
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Requires-Dist: traitlets (>=4.3.0)
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Requires-Dist: traittypes (>=0.0.6)
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Requires-Dist: numpy (>=1.10.4)
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Requires-Dist: pandas
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BQPlot
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======
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Plotting system for the Jupyter notebook based on the interactive Jupyter widgets.
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Installation
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============
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.. code-block:: bash
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pip install bqplot
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jupyter nbextension enable --py bqplot
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Usage
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=====
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.. code-block:: python
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from bqplot import pyplot as plt
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import numpy as np
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plt.figure(1)
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n = 200
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x = np.linspace(0.0, 10.0, n)
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y = np.cumsum(np.random.randn(n))
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plt.plot(x,y, axes_options={'y': {'grid_lines': 'dashed'}})
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plt.show()
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