bqplot
is a Grammar of Graphics based interactive plotting framework for the Jupyter notebook. The library offers a simple bridge between Python
and d3.js
allowing users to quickly and easily build complex GUI's with layered interactions.
To begin start by investigating the introductory notebooks:
bqplot
, get started with our Introduction notebookbqplot
plotting commands and how to use thempyplot
APIMove to exploring the different Marks
that you can use to represent your data. You have two options for rendering marks:
Learn how to use bqplot
interactions to convert your plots into interactive applications:
Once you've mastered the basics of bqplot
, you can use these notebooks to learn about some of it's more advanced features.
Finally, we have a collection of notebooks that demonstrate how to use bqplot
and ipywidgets
to create advanced interactive applications.
In [ ]:
from IPython.display import YouTubeVideo
YouTubeVideo('eVET9IYgbao')