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

Typical API data formats

Many websites offer their data via an API, which bridges applications via standardized architecture. While we are not going to cover the details of using APIs here as site-specific documentation is usually available online; we will show you the three most common data formats as used in many APIs.


CSV (Comma-Separated Values) is one of the oldest file formats, which was introduced long before the internet even existed. However, it is now becoming deprecated as other advanced formats, such as JSON and XML, are gaining popularity. As the name suggests, data values are separated by commas. The preinstalled csv package and the pandas package contain classes to read and write data in CSV format. This CSV example defines a population table with two countries:

United Kingdom,1950,Male,0-4,2238.735
United States of America,1950,Male,0-4,8812.309


JSON (JavaScript Object Notation) is gaining popularity these days due to its efficiency and simplicity...