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

Getting End-of-Day (EOD) stock data from Quandl

Since we are going to discuss stock data extensively, note that we do not guarantee the accuracy, completeness, or validity of the content presented; nor are we responsible for any errors or omissions that may have occurred. The data, visualizations, and analyses are provided on an “as is” basis for educational purposes only, without any representations, warranties, or conditions of any kind. Therefore, the publisher and the authors do not accept liability for your use of the content. It should be noted that past stock performance may not predict future performance. Readers should also be aware of the risks involved in stock investments and should not take any investment decisions based on the content in this chapter. In addition, readers are advised to conduct their own independent research into individual stocks before making a investment decision.

We are going to adapt the Quandl JSON API code in Chapter 4Visualizing Online Data to get...