2-D plotting library for Project Jupyter

bqplot is a 2-D visualization system for Jupyter, based on the constructs of the Grammar of Graphics.

In bqplot, every component of a plot is an interactive widget. This allows the user to integrate visualizations with other Jupyter interactive widgets to create integrated GUIs with a few lines of Python code.

You can follow the documentation on https://bqplot.github.io/bqplot

To try out bqplot interactively in your web browser, just click on the Notebook.link link:

This package depends on the following packages:

• ipywidgets (version >=7.0.0, <8.0)
• traitlets (version >=4.3.0, <5.0)
• traittypes (version >=0.2.1, <0.3)
• numpy
• pandas

Using pip:

pip install bqplot

Using conda:

conda install -c conda-forge bqplot

Note: If you are using JupyterLab <= 2:

jupyter labextension install @jupyter-widgets/jupyterlab-manager bqplot

In order to install a previous bqplot version, you need to know which front-end version (JavaScript) matches with the back-end version (Python).

For example, in order to install bqplot 0.11.9, you need the labextension version 0.4.9.

pip install bqplot==0.11.9
jupyter labextension install bqplot@0.4.9

Versions lookup table:

See our contributing guidelines for the development installation, contributor workflow, and test commands.

This software is licensed under the Apache 2.0 license. See the LICENSE file for details.