Interactive plotting for the Jupyter notebook, using d3.js and ipywidgets.
Project description
BQPlot
Plotting system for the Jupyter notebook based on the interactive HTML.
Installation
pip install bqplot
jupyter nbextension enable --py bqplotUsage
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()Release history Release notifications | RSS feed
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