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


In this chapter, we explored different ways of performing exploratory data analysis, specifically focusing on population health information. With all the code provided in this book, the readers can definitely combine more datasets and explore the hidden characteristics. For instance, one can explore whether illegal drug usage is correlated with suicide, or whether exercise is anti-correlated with heart disease across the USA. One key message is that the readers should not mix up association and causality, which is a frequent mistake even made by experienced data scientists. Hopefully, by now, the readers are getting more comfortable with data analysis using Python, and we, the authors, are looking forward to your contribution to the Python community.

Happy coding!