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Matplotlib for Python Developers

You're reading from   Matplotlib for Python Developers Python developers who want to learn Matplotlib need look no further. This book covers it all with a practical approach including lots of code and images. Take this chance to learn 2D plotting through real-world examples.

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Product type Paperback
Published in Nov 2009
Publisher Packt
ISBN-13 9781847197900
Length 308 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (14) Chapters Close

Matplotlib for Python Developers
Credits
About the Author
About the Reviewers
1. Preface
1. Introduction to Matplotlib FREE CHAPTER 2. Getting Started with Matplotlib 3. Decorate Graphs with Plot Styles and Types 4. Advanced Matplotlib 5. Embedding Matplotlib in GTK+ 6. Embedding Matplotlib in Qt 4 7. Embedding Matplotlib in wxWidgets 8. Matplotlib for the Web 9. Matplotlib in the Real World

Contour plots and image plotting


We will now discuss the features Matplotlib provides to create contour plots and display images.

Contour plots

Contour lines (also known as level lines or isolines) for a function of two variables are curves where the function has constant values. Mathematically speaking, it's a graph image that shows:

f(x, y) = L

with L constant. Contour lines often have specific names beginning with iso- (from Greek, meaning equal) according to the nature of the variables being mapped.

There are a lot of applications of contour lines in several fields such as meteorology (for temperature, pressure, rain precipitation, wind speed), geography, oceanography, cartography (elevation and depth), magnetism, engineering, social sciences, and so on.

The absolutely most common examples of contour lines are those seen in weather forecasts, where lines of isobars (where the atmospheric pressure is constant) are drawn over the terrain maps. In particular, those are contour maps because...

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