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

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  • License: Apache Software License
  • Author: The BQplot Development Team
  • Tags ipython, jupyter, widgets, graphics, plotting, d3
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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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