Interactive plotting for the Jupyter notebook, using d3.js and ipywidgets.
Project description
BQPlot
Plotting system for the Jupyter notebook based on the interactive Jupyter widgets.
Installation
pip install bqplot
jupyter nbextension enable --py bqplot
Usage
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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| Filename, size & hash SHA256 hash help | File type | Python version | Upload date |
|---|---|---|---|
| bqplot-0.10.5-py2.py3-none-any.whl (1.5 MB) Copy SHA256 hash SHA256 | Wheel | py2.py3 | Feb 18, 2018 |
| bqplot-0.10.5.tar.gz (973.6 kB) Copy SHA256 hash SHA256 | Source | None | Feb 18, 2018 |
