Python Data Analytics: With Pandas, NumPy, and Matplotlib

© Fabio Nelli 2018

Fabio NelliPython Data Analyticshttps://doi.org/10.1007/978-1-4842-3913-1_11

11. Embedding the JavaScript D3 Library in the IPython Notebook

Fabio Nelli¹ 

(1)

Rome, Italy

 

In this chapter, you will see 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 you can implement JavaScript code in a Python environment, using the large capacity of the integrative Jupyter Notebook. Also you’ll see different ways to use the data contained in Pandas dataframes Pandas in representations ...