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You're reading from Python Data Visualization Cookbook As a developer with knowledge of Python you are already in a great position to start using data visualization. This superb cookbook shows you how in plain language and practical recipes, culminating with 3D animations.

Product type Paperback

Published in Nov 2013

Publisher Packt

ISBN-13 9781782163367

Length 280 pages

Edition 1st Edition

Languages

Python

Tools

Matplotlib

Concepts

Data Visualization

Author (1):

Igor Milovanovic

View More author details

Table of Contents (15) Chapters

Python Data Visualization Cookbook

Credits

About the Author

About the Reviewers

www.PacktPub.com

Preface

1. Preparing Your Working Environment FREE CHAPTER

2. Knowing Your Data

3. Drawing Your First Plots and Customizing Them

4. More Plots and Customizations

5. Making 3D Visualizations

6. Plotting Charts with Images and Maps

7. Using Right Plots to Understand Data

8. More on matplotlib Gems

Index

Installing Python Imaging Library (PIL) for image processing

Python Imaging Library (PIL) enables image processing using Python, has an extensive file format support, and is powerful enough for image processing.

Some popular features of PIL are fast access to data, point operations, filtering, image resizing, rotation, and arbitrary affine transforms. For example, the histogram method allows us to get statistics about the images.

PIL can also be used for other purposes, such as batch processing, image archiving, creating thumbnails, conversion between image formats, and printing images.

PIL reads a large number of formats, while write support is (intentionally) restricted to the most commonly used interchange and presentation formats.

How to do it...

The easiest and most recommended way is to use your platform's package managers. For Debian/Ubuntu use the following commands:

$ sudo apt-get build-dep python-imaging
$ sudo pip install http://effbot.org/downloads/Imaging-1.1.7.tar.gz

How it works...

This way we are satisfying all build dependencies using apt-get system but also installing the latest stable release of PIL. Some older versions of Ubuntu usually don't provide the latest releases.

On RedHat/SciLinux:

# yum install python-imaging
# yum install freetype-devel
# pip install PIL

There's more...

There is a good online handbook, specifically, for PIL. You can read it at http://www.pythonware.com/library/pil/handbook/index.htm, or download the PDF version from http://www.pythonware.com/media/data/pil-handbook.pdf.

There is also a PIL fork, Pillow, whose main aim is to fix installation issues. Pillow can be found at http://pypi.python.org/pypi/Pillow and it is easy to install.

On Windows, PIL can also be installed using a binary installation file. Install PIL in your Python site-packages by executing .exe from http://www.pythonware.com/products/pil/.

Now, if you want PIL used in virtual environment, manually copy the PIL.pth file and the PIL directory at C:\Python27\Lib\site-packages to your virtualenv site-packages directory.