Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Arrow up icon
GO TO TOP
Mastering Matplotlib

You're reading from   Mastering Matplotlib A practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data

Arrow left icon
Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781783987542
Length 292 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Duncan M. McGreggor Duncan M. McGreggor
Author Profile Icon Duncan M. McGreggor
Duncan M. McGreggor
Arrow right icon
View More author details
Toc

Table of Contents (16) Chapters Close

Mastering matplotlib
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Getting Up to Speed FREE CHAPTER 2. The matplotlib Architecture 3. matplotlib APIs and Integrations 4. Event Handling and Interactive Plots 5. High-level Plotting and Data Analysis 6. Customization and Configuration 7. Deploying matplotlib in Cloud Environments 8. matplotlib and Big Data 9. Clustering for matplotlib Index

Summary


As indicated, this chapter is connected to the previous one by the virtue of the relationship between matplotlib's architecture and the software library's APIs. While material for various matplotlib APIs is available online and in other books, we strove to view these from a different perspective. Firstly, in sources that cover matplotlib APIs exhaustively, one can be exposed to too many use cases. This can lead to a slight confusion on the part of the reader who is attempting to gain mastery over the subject area (matplotlib). Instead, we aimed for an overview approach that focused on some real-world examples in order to keep the story clear.

Secondly, we wanted to emphasize that there are many advanced users of matplotlib whose sole experience with regard to the library is via its deprecated compatibility layer with MATLAB. We wanted to provide useful material for those who wish to make the leap into the land of matplotlib.

Finally, it almost goes without saying that this chapter...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at £13.99/month. Cancel anytime
Visually different images