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- 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()
-
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