Visualizing a NetworkX graph in the Notebook with D3.js
D3.js (http://d3js.org) is a popular interactive visualization framework for the web. Written in JavaScript, it allows us to create data-driven visualizations based on web technologies such as HTML, SVG, and CSS. The official gallery contains many examples (https://github.com/d3/d3/wiki/gallery). There are many other JavaScript visualization and charting libraries, but we will focus on D3.js in this recipe.
Being a pure JavaScript library, D3.js has in principle nothing to do with Python. However, the HTML-based Jupyter Notebook can integrate D3.js visualizations seamlessly.
In this recipe, we will create a graph in Python with NetworkX and visualize it in the Jupyter Notebook with D3.js. ...
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