Create Beautiful Stand-Alone and Interactive D3.js Charts with Python

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Create Beautiful Stand-Alone and Interactive D3.js Charts with Python

With application to D3 force-directed network graphs.

Visualizing your data can be key to your project. It can reveal hidden insights, improve your understanding, and open new discussions. The most effective way to convince people is by allowing them to see and interact with the data. Despite many visualization packages being available in Python, it is not always straightforward to make beautiful, stand-alone, and interactive charts that can also work outside your machine. In this blog, I will demonstrate how you can pythonize existing D3.js charts, and explain how you can create networks using D3Blocks, which is a Python library that creates D3.js charts that are entirely encapsulated in HTML. In this blog, I will outline how you can build your own stand-alone, interactive force-directed D3 network using Python.