Python Data Analytics: With Pandas, NumPy, and Matplotlib

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2023

F. NelliPython Data Analyticshttps://doi.org/10.1007/978-1-4842-9532-8_11

11. Embedding the JavaScript D3 Library in the IPython Notebook

Fabio Nelli¹  

(1)

Rome, Italy

 

In this chapter, you will learn how to extend the capabilities of the graphical representation including the JavaScript D3 library in your Jupyter Notebook. This library has enormous potential graphics and allows you to build graphical representations that even the matplotlib library cannot represent.

In the course of the various examples, you will see how to implement JavaScript code in a Python environment, using the large capacity of the integrative Jupyter Notebook. You’ll also see different ...