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Python Data Visualization Cookbook

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.

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Product type Paperback
Published in Nov 2013
Publisher Packt
ISBN-13 9781782163367
Length 280 pages
Edition 1st Edition
Languages
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Author (1):
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Igor Milovanovic Igor Milovanovic
Author Profile Icon Igor Milovanovic
Igor Milovanovic
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Toc

Table of Contents (15) Chapters Close

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

Visualizing the filesystem tree using a polar bar


We want to show in this recipe how to solve a "real-world" task—how to use matplotlib to visualize our directory occupancy.

In this recipe we will learn how to visualize a filesystem tree with relative sizes.

Getting ready

We all have big hard drives that sometimes contain stuff that we usually forget about. It would be nice to see what is inside such a directory, and what the biggest file inside is.

Although there are many more sophisticated and elaborate software products for this job, we want to demonstrate how this is achievable using Python and matplotlib.

How to do it...

Let's perform the following steps:

  1. Implement a few helper functions to deal with folder discovery and internal data structures.

  2. Implement the main function, draw(), that does the plotting.

  3. Implement the main program body that verifies the user input arguments:

    import os
    import sys
    
    import matplotlib.pyplot as plt
    import matplotlib.cm as cm
    import numpy as np
    
    def build_folders...
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