This book will cover the most relevant and unique attributes and features for 9 different libraries, before going on to demonstrate how to visualize data with them.
This book will also cover the different types of data you can visualize in Python, in addition to common visualization techniques, tools, and plot types.
Before delving too deeply into the libraries themselves, it would be helpful to gain an intuition of how the landscape of Python’s visualization libraries breaks down. To put that another way, it’s helpful to understand how the different Python libraries are designed and related to one another. Understanding how the different libraries operate will help you choose the best library for your visualization project.
