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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

Plotting data by parsing an Apache log file


Plotting data from a log file can be seen as the art of extracting information from it.

Every service has a log format different from the others. There are some exceptions of similar or same format (for example, for services that come from the same development teams) but then they may be customized and we're back at the beginning.

The main differences in log files are:

  • Fields orders: Some have time information at the beginning, others in the middle of the line, and so on

  • Fields types: We can find several different data types such as integers, strings, and so on

  • Fields meanings: For example, log levels can have very different meanings

From all the data contained in the log file, we need to extract the information we are interested in from the surrounding data that we don't need (and hence we skip).

In our example, we're going to analyze the log file of one of the most common services: Apache. In particular, we will parse the access.log file to extract...

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