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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

Directed graphs and multigraphs


First, we will review directed graphs and multigraphs. Later, we will figure out the options in Python to generate them. Also, we will take a look at an example where you may require directed graphs. Before we conceptually describe graphs and directed graphs, let's take a look at the different ways to understand when you can use graphs and directed graphs.

Computers that are connected to each other within a university campus area can be considered a connected graph, where each computer in this connection is viewed as a node or a vertex. The connected path is an edge, and in some cases, if there is only a one-way connection, then it is a directed graph. For instance, a very restricted federal network will not allow any connection from outside to go in, but will probably not restrict the other way around. The following are simple graphs showing distances between places:

In the preceding examples, the graph with city labels A through F is a directed graph, and...

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