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)numpypandas
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 [email protected]
Versions lookup table:
back-end (Python) |
front-end (JavaScript) |
|---|---|
| 0.12.14 | 0.5.14 |
| 0.12.13 | 0.5.13 |
| 0.12.12 | 0.5.12 |
| 0.12.11 | 0.5.11 |
| 0.12.10 | 0.5.10 |
| 0.12.9 | 0.5.9 |
| 0.12.8 | 0.5.8 |
| 0.12.7 | 0.5.7 |
| 0.12.6 | 0.5.6 |
| 0.12.4 | 0.5.4 |
| 0.12.3 | 0.5.3 |
| 0.12.2 | 0.5.2 |
| 0.12.1 | 0.5.1 |
| 0.12.0 | 0.5.0 |
| 0.11.9 | 0.4.9 |
| 0.11.8 | 0.4.8 |
| 0.11.7 | 0.4.7 |
| 0.11.6 | 0.4.6 |
| 0.11.5 | 0.4.5 |
| 0.11.4 | 0.4.5 |
| 0.11.3 | 0.4.4 |
| 0.11.2 | 0.4.3 |
| 0.11.1 | 0.4.1 |
| 0.11.0 | 0.4.0 |
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.