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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 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()

Project details


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Files for bqplot, version 0.12.18
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Filename, size bqplot-0.12.18.tar.gz (2.7 MB) File type Source Python version None Upload date Hashes View

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