What this book covers

Chapter 1, Introduction to Matplotlib, gets you familiar with the capabilities and functionalities of Matplotlib.

Chapter 2, Getting Started with Matplotlib, gets you started with basic plotting techniques using Matplotlib syntax.

Chapter 3, Decorating Graphs with Plot Styles and Types, shows how to beautify your plots and select the right kind of plot that communicates your data effectively.

Chapter 4, Advanced Matplotlib, teaches you how to group multiple relevant plots into subplots in one figure using nonlinear scales, axis scales, plotting images, and advanced plots with the help of some popular third-party packages.

Chapter 5, Embedding Matplotlib in GTK+3, shows examples of embeding Matplotlib in applications using GTK+3.

Chapter 6, Embedding Matplotlib in Qt 5, explains how to embed a figure in a QWidget, use layout manager to pack a figure in a QWidget, create a timer, react to events, and update a Matplotlib graph accordingly. We use QT Designer to draw a simple GUI for Matplotlib embedding.

Chapter 7, Embedding Matplotlib in wxWidgets Using wxPython, shows how you can use Matplotlib in the wxWidgets framework, particularly using wxPython bindings.

Chapter 8, Integrating Matplotlib with Web Applications, teaches you how to develop a simple site that displays the price of Bitcoin. 

Chapter 9, Matplotlib in the Real World, begins our journey of understanding more advanced Matplotlib usage through real-world examples.

Chapter 10, Integrating Data Visualization into the Workflow, covers a mini-project combining the skills of data analytics with the visualization techniques you have learned.