Skip to main content

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


Release history Release notifications

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for bqplot, version 0.12.2
Filename, size File type Python version Upload date Hashes
Filename, size bqplot-0.12.2-py2.py3-none-any.whl (4.7 MB) File type Wheel Python version py2.py3 Upload date Hashes View hashes
Filename, size bqplot-0.12.2.tar.gz (2.6 MB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page