bqplot 0.3.6

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

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()