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Mastering Matplotlib

You're reading from   Mastering Matplotlib A practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781783987542
Length 292 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (11) Chapters Close

Preface 1. Getting Up to Speed FREE CHAPTER 2. The matplotlib Architecture 3. matplotlib APIs and Integrations 4. Event Handling and Interactive Plots 5. High-level Plotting and Data Analysis 6. Customization and Configuration 7. Deploying matplotlib in Cloud Environments 8. matplotlib and Big Data 9. Clustering for matplotlib Index

Coding style

The coding style used throughout this book and in the example code conforms to the standards laid out in PEP 8, with one exception. When entering code into an IPython Notebook or providing modules that will be displayed in the notebook, we will not use two lines to separate what would be module-level blocks of code. We will just use one line. This is done to save screen space.

Something that might strike you as different in our code is the use of an extraordinary feature of Python 3—function annotations. The work for this was done in PEP 3107 and was added in the first release of Python 3. The use of types and static analysis in programming, though new to Python, is a boon to the world of software. It saves time in development of a program by catching bugs before they even arise as well as streamlining unit tests. The benefit of this in our particular case, with regard to the examples in this book, is quick, intuitive code clarification. When you look at the functions, you will instantly know what is being passed and returned.

Finally, there is one best practice that we adhere to that is not widely adopted in the Python programming community—functions and methods are kept small in all of our code. If more than one logical thing is happening in a function, we break it into multiple functions and compose as needed. This keeps the code clean and clear, making examples much easier to read. It also makes it much easier to write unit tests without some of the excessive parameterization or awkward, large functions and methods that are often required in unit tests. We hope that this leaves a positive, long-lasting impression on you so that this practice receives wider adoption.

You have been reading a chapter from
Mastering Matplotlib
Published in: Jun 2015
Publisher:
ISBN-13: 9781783987542
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