Book Image

Matplotlib 2.x By Example

By : Allen Yu, Claire Chung, Aldrin Yim
Book Image

Matplotlib 2.x By Example

By: Allen Yu, Claire Chung, Aldrin Yim

Overview of this book

Big data analytics are driving innovations in scientific research, digital marketing, policy-making and much more. Matplotlib offers simple but powerful plotting interface, versatile plot types and robust customization. Matplotlib 2.x By Example illustrates the methods and applications of various plot types through real world examples. It begins by giving readers the basic know-how on how to create and customize plots by Matplotlib. It further covers how to plot different types of economic data in the form of 2D and 3D graphs, which give insights from a deluge of data from public repositories, such as Quandl Finance. You will learn to visualize geographical data on maps and implement interactive charts. By the end of this book, you will become well versed with Matplotlib in your day-to-day work to perform advanced data visualization. This book will guide you to prepare high quality figures for manuscripts and presentations. You will learn to create intuitive info-graphics and reshaping your message crisply understandable.
Table of Contents (15 chapters)
Title Page
About the Authors
About the Reviewer
Customer Feedback

Chapter 6. Adding Interactivity and Animating Plots

As a book focusing on the use of Matplotlib through elaborate examples, we opted to defer or simplify our discussion of the internals. For those of you who want to understand the nuts and bolts that make Matplotlib tick, you are advised to read Mastering matplotlib by Duncan M. McGreggor. At some point during our Matplotlib journey, it becomes inevitable for us to discuss more about backends, which turn plotting commands to graphics. These backends can be broadly classified as non-interactive or interactive. We will give examples that are pertinent to each backend class.

Matplotlib was not designed as an animation package from the get-go, thus it will appear sluggish in some advanced usages. For animation-centric applications, PyGame is a very good alternative (; it supports OpenGL- and Direct3D-accelerated graphics for the ultimate speed in animating objects. Nevertheless, Matplotlib has acceptable performance most...