Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
matplotlib Plotting Cookbook

You're reading from   matplotlib Plotting Cookbook Discover how easy it can be to create great scientific visualizations with Python. This cookbook includes over sixty matplotlib recipes together with clarifying explanations to ensure you can produce plots of high quality.

Arrow left icon
Product type Paperback
Published in Mar 2014
Publisher Packt
ISBN-13 9781849513265
Length 222 pages
Edition Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Alexandre Devert Alexandre Devert
Author Profile Icon Alexandre Devert
Alexandre Devert
Arrow right icon
View More author details
Toc

Table of Contents (15) Chapters Close

matplotlib Plotting Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. First Steps FREE CHAPTER 2. Customizing the Color and Styles 3. Working with Annotations 4. Working with Figures 5. Working with a File Output 6. Working with Maps 7. Working with 3D Figures 8. User Interface Index

Handling multiple-page PDF documents


In Chapter 4, Working with Figures, saw seen how to compose several figures in one matplotlib graph. This allows you to create very elaborate plots. When using the PDF output, we have to keep in mind that the graph has to fit on one page. However, with some additional work, we can output PDF documents of several pages. Be warned, matplotlib is a scientific plotting package, not a document composition system, such as LaTeX or ReportLab. Thus, support for multiple pages is fairly minimal. In this recipe, we will see how to generate multiple page PDF documents.

How to do it...

To demonstrate multiple page PDF outputs with matplotlib, let's generate 15 bar charts, with five charts per page. The following script will output a three-page document named barcharts.pdf:

import numpy as np
from matplotlib import pyplot as plt
from matplotlib.backends.backend_pdf import PdfPages

# Generate the data
data = np.random.randn(15, 1024)

# The PDF document
pdf_pages = PdfPages...
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 $19.99/month. Cancel anytime
Banner background image