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Applying Math with Python

You're reading from   Applying Math with Python Over 70 practical recipes for solving real-world computational math problems

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Product type Paperback
Published in Dec 2022
Publisher Packt
ISBN-13 9781804618370
Length 376 pages
Edition 2nd Edition
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Author (1):
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Sam Morley Sam Morley
Author Profile Icon Sam Morley
Sam Morley
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Table of Contents (13) Chapters Close

Preface 1. Chapter 1: An Introduction to Basic Packages, Functions, and Concepts 2. Chapter 2: Mathematical Plotting with Matplotlib FREE CHAPTER 3. Chapter 3: Calculus and Differential Equations 4. Chapter 4: Working with Randomness and Probability 5. Chapter 5: Working with Trees and Networks 6. Chapter 6: Working with Data and Statistics 7. Chapter 7: Using Regression and Forecasting 8. Chapter 8: Geometric Problems 9. Chapter 9: Finding Optimal Solutions 10. Chapter 10: Improving Your Productivity 11. Index 12. Other Books You May Enjoy

Visualizing networks

A common first step in analyzing a network is to draw the network, which can help us identify some of the prominent features of a network. (Of course, drawings can be misleading, so we should not rely on them too heavily in our analysis.)

In this recipe, we’ll describe how to use the network drawing facilities in the NetworkX package to visualize a network.

Getting ready

For this recipe, we will need to import the NetworkX package under the nx alias, as described in the Technical requirements section. We will also need the Matplotlib package. For this, as usual, we must import the pyplot module as plt using the following import statement:

import matplotlib.pyplot as plt

How to do it...

The following steps outline how to draw a simple network object using the drawing routines from NetworkX:

  1. First, we will create a simple example network to draw:
    G = nx.Graph()
    G.add_nodes_from(range(1, 7))
    G.add_edges_from([
        ...
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