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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.

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()

Project details


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This version

0.3.6

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