In this chapter, we covered two areas of detailed customization—the creation of custom styles, as well as complex subplots. In the previous chapters, you have been exposed to the means by which you can discover more of matplotlib's functionality through its sources. It was in this context that the additional topics in customization were mentioned. With this, we transitioned into the topic of matplotlib configuration via files as well as rcParams
. This is a transitional topic that will be picked up again at the beginning of the next chapter, where we will cover matplotlib deployments.
Mastering matplotlib
By :
Mastering matplotlib
By:
Overview of this book
Table of Contents (16 chapters)
Mastering matplotlib
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Getting Up to Speed
The matplotlib Architecture
matplotlib APIs and Integrations
Event Handling and Interactive Plots
High-level Plotting and Data Analysis
Customization and Configuration
Deploying matplotlib in Cloud Environments
matplotlib and Big Data
Clustering for matplotlib
Index
Customer Reviews