Contents

bqplot 0.12.43

0

Interactive plotting for the Jupyter notebook, using d3.js and ipywidgets.

Interactive plotting for the Jupyter notebook, using d3.js and ipywidgets.

Stars: 3617, Watchers: 3617, Forks: 465, Open Issues: 264

The bqplot/bqplot repo was created 9 years ago and the last code push was 1 months ago.
The project is very popular with an impressive 3617 github stars!

How to Install bqplot

You can install bqplot using pip

pip install bqplot

or add it to a project with poetry

poetry add bqplot

Package Details

Author
The BQplot Development Team
License
Apache
Homepage
https://github.com/bqplot/bqplot
PyPi:
https://pypi.org/project/bqplot/
GitHub Repo:
https://github.com/bqplot/bqplot
No  bqplot  pypi packages just yet.

Errors

A list of common bqplot errors.

Code Examples

Here are some bqplot code examples and snippets.

GitHub Issues

The bqplot package has 264 open issues on GitHub

  • Feature Request: Allow title to contain Markdown
  • Bump nanoid from 3.1.30 to 3.2.0 in /ui-tests
  • Bump nanoid from 3.1.25 to 3.2.0 in /js
  • Bump log4js from 6.3.0 to 6.4.0 in /js
  • padding_y = 0 only affects the bottom of the plot
  • [EN] Add traitlet for controlling the text color of a Graph node
  • Graph mark's text stays black when switching JupyterLab's theme from Light to Dark
  • Labels show up or disappear inconsistently with histogram
  • fix: properly treat Bar.base with stacked Bars
  • Feature: use kiwi.js for controlling min and max aspect
  • Image / Bitmap HeatMap / plt.imshow

See more issues on GitHub

Related Packages & Articles

bokeh 3.6.0

Interactive plots and applications in the browser from Python

altair 5.4.1

Vega-Altair: A declarative statistical visualization library for Python.