Interactive plotting for the Jupyter notebook, using d3.js and ipywidgets.
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 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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| File Name & Checksum SHA256 Checksum Help | Version | File Type | Upload Date |
|---|---|---|---|
| bqplot-0.9.0-py2.py3-none-any.whl (2.2 MB) Copy SHA256 Checksum SHA256 | py2.py3 | Wheel | Mar 24, 2017 |
| bqplot-0.9.0.tar.gz (1.3 MB) Copy SHA256 Checksum SHA256 | – | Source | Mar 24, 2017 |
