bqplot - Seamless Interactive Visualizations in the Jupyter Notebook4:55pm - 5:20pm on Friday, October 6 in Madison
- Audience Level:
bqplot is a d3-based plotting library that offers its functionality directly in the Jupyter Notebook in which every element of a chart is a widget that can be bound to a python function. This means that even a novice can use bqplot to build full scale web applications with 10 lines of Python code.
The talk will also cover bqplot’s seamless integration with the native Jupyter widgets - including layout and styling of web applications, as well as the integration with other widget libraries such as ipyleaflet or ipyvolume. We will also demonstrate the simple way to export bqplot charts as stand alone web applications through the embedding mechanism of the ipywidgets library.
Finally, we will highlight bqplot as the first plotting library to have complete integration with the new JupyterLab IDE by demonstrating dashboarding, resizing and custom integrations.