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Applying Math with Python

You're reading from  Applying Math with Python

Product type Book
Published in Jul 2020
Publisher Packt
ISBN-13 9781838989750
Pages 358 pages
Edition 1st Edition
Languages
Author (1):
Sam Morley Sam Morley
Profile icon Sam Morley
Toc

Table of Contents (12) Chapters close

Preface 1. Basic Packages, Functions, and Concepts 2. Mathematical Plotting with Matplotlib 3. Calculus and Differential Equations 4. Working with Randomness and Probability 5. Working with Trees and Networks 6. Working with Data and Statistics 7. Regression and Forecasting 8. Geometric Problems 9. Finding Optimal Solutions 10. Miscellaneous Topics 11. Other Books You May Enjoy

Creating directed and weighted networks

Simple networks, such as those described in the previous recipes, are useful for describing networks where the direction of an edge is unimportant and where the edges carry equal weight. In practice, most networks carry additional information, such as weights or direction.

In this recipe, we will create a directed and weighted network and explore some of the basic properties of such networks.

Getting ready

For this recipe, we will need the NetworkX package, imported under the name nx (as usual), the Matplotlib pyplot module imported as plt, and the NumPy package imported as np.

How to do it...

The following steps outline how to create a directed network with weights, as well as how to explore some of the properties and techniques we discussed in the previous recipes:

  1. To create a directed network, we use the DiGraph class from NetworkX rather than the simple Graph class:
...
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