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Mastering Python Data Visualization

You're reading from  Mastering Python Data Visualization

Product type Book
Published in Oct 2015
Publisher
ISBN-13 9781783988327
Pages 372 pages
Edition 1st Edition
Languages

Table of Contents (16) Chapters

Mastering Python Data Visualization
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
A Conceptual Framework for Data Visualization Data Analysis and Visualization Getting Started with the Python IDE Numerical Computing and Interactive Plotting Financial and Statistical Models Statistical and Machine Learning Bioinformatics, Genetics, and Network Models Advanced Visualization Go Forth and Explore Visualization Index

Visualization using matplotlib


matplotlib has been a popular plotting package besides a few other that are available today. The capability of matplotlib is now being realized by the Python community. John Hunter, the creator and project leader of this package summed it up as matplotlib tries to make easy things easy and hard things possible. You can generate very high-quality, publication-ready graphs with very little effort. In this section, we will pick a few interesting examples to illustrate the power of matplotlib.

Word clouds

Word clouds give greater prominence to words that appear more frequently in any given text. They are also called tag clouds or weighted words. You can tweak word clouds with different fonts, layouts, and color schemes. The significance of a word's strength in terms of the number of occurrences visually maps to the size of their appearance. In other words, the word that appears the largest in visualization is the one that has appeared the most in the text.

Beyond...

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