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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

Real-time update of a Matplotlib graph


In this section, we will present a simple application—a CPU usage monitor, where we will update the Matplotlib graph in real-time (once every second over a period of 30 seconds).

As there are several indicators of CPU usage in a modern operating system, we decided to restrict our graph to the four main ones:

  • user: The time consumed by processes executed by the users of the machine

  • nice: The time consumed by processes executed by users but with a lower priority

  • system: The time consumed by system tasks

  • idle: The time consumed waiting for something to execute

The ignored indicators contribute for just a minimal part of the CPU usage, so their exclusion doesn't disturb the validity of the example.

Of those four indicators, what we will plot is the percentage of each of them against the total CPU usage.

Here we start:

import sys
from PyQt4 import QtGui

These are the modules for command-line parameters and for Python bindings of the QtGui submodule.

from...
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