Jon Mease
Johns Hopkins Applied Physics Laboratory

Video: https://youtu.be/1ndo6C1KWjI

Abstract

Plotly.js is a declarative JavaScript data visualization library built on D3 and WebGL that supports a wide range of statistical, scientific, financial, geographic, and 3-dimensional visualizations. Support for creating Plotly.js visualizations from Python is provided by the plotly.py library. Version 3 of plotly.py integrates ipywidgets support, providing a host of benefits to plotly.py users working in the Jupyter notebook. This paper describes the architecture of this new version of plotly.py, and presents examples of several of these benefits.

Keywords

ipywidgets, plotly, jupyter, visualization

DOI

10.25080/Majora-4af1f417-00b

Bibtex entry

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Copyright © 2018 Jon Mease. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.