Chapter 6. Advanced Visualization
In this chapter, we will cover the following topics:
- Making nicer matplotlib figures with prettyplotlib
- Creating beautiful statistical plots with seaborn
- Creating interactive web visualizations with Bokeh
- Visualizing a NetworkX graph in the IPython notebook with D3.js
- Converting matplotlib figures to D3.js visualizations with mpld3
- Getting started with Vispy for high-performance interactive data visualizations
Introduction
Visualization is a central theme of this book. We create graphics in most recipes because that's the most efficient way to communicate quantitative information. In most cases, we use matplotlib to create plots. In this chapter, we will see more advanced visualization features in Python.
First, we will ...
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