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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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Filename, size & hash SHA256 hash help File type Python version Upload date
bqplot-0.11.1-py2.py3-none-any.whl (1.7 MB) Copy SHA256 hash SHA256 Wheel py2.py3 Aug 14, 2018
bqplot-0.11.1.tar.gz (1.1 MB) Copy SHA256 hash SHA256 Source None Aug 14, 2018

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