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


You have successfully learned the techniques for visualizing multivariate data in 2D and 3D forms. Although most examples in this chapter revolved around the topic of stock trading, the data processing and visualization methods can be applied readily to other fields as well. In particular, the divide-and-conquer approach used to visualize multivariate data in facets is extremely useful in the scientific field. 

We didn't go into too much detail of the 3D plotting capability of Matplotlib, as it is yet to be polished. For simple 3D plots, Matplotlib already suffices. The learning curve can be reduced if we use the same package for both 2D and 3D plots. You are advised to take a look at MayaVi2, Plotly, and VisPy if you require more powerful 3D plotting functions.