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Interactive plotting for the Jupyter notebook, using d3.js and ipywidgets.

Project description


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


pip install bqplot
jupyter nbextension enable --py bqplot


from bqplot import pyplot as plt
import numpy as np

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'}})

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Files for bqplot, version 0.12.2
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Filename, size bqplot-0.12.2-py2.py3-none-any.whl (4.7 MB) File type Wheel Python version py2.py3 Upload date Hashes View hashes
Filename, size bqplot-0.12.2.tar.gz (2.6 MB) File type Source Python version None Upload date Hashes View hashes

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