Book Image

Python Data Visualization with Matplotlib 2.x [Video]

Book Image

Python Data Visualization with Matplotlib 2.x [Video]

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 video, you will become well versed with Matplotlib in your day-to-day work to perform advanced data visualization. This video will help you 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 (8 chapters)
Chapter 3
Figure Layout and Annotations
Content Locked
Section 2
Adding Subplots
There are frequent occasions when you would prefer to have different plots aligned in the same figure. How to go about it? This video, shows few important steps to do this. - Adjust subplots using pyplot.subplot - Share axes between subplots