Skip to Content
Python Data Structures and Algorithms
book

Python Data Structures and Algorithms

by Benjamin Baka
May 2017
Intermediate to advanced
310 pages
8h 5m
English
Packt Publishing
Content preview from Python Data Structures and Algorithms

Adjacency matrix

Another approach by which a graph can be represented is by using an adjacency matrix. A matrix is a two-dimensional array. The idea here is to represent the cells with a 1 or 0 depending on whether two vertices are connected by an edge.

Given an adjacency list, it should be possible to create an adjacency matrix. A sorted list of keys of graph is required:

    matrix_elements = sorted(graph.keys())     cols = rows = len(matrix_elements) 

The length of the keys is used to provide the dimensions of the matrix which are stored in cols and rows. These values in cols and rows are equal:

    adjacency_matrix = [[0 for x in range(rows)] for y in range(cols)]     edges_list = [] 

We then set up a cols by rows array, filling it with zeros. The ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Data Structures and Algorithms in Python

Data Structures and Algorithms in Python

Michael T. Goodrich, Roberto Tamassia, Michael H. Goldwasser
Hands-On Data Structures and Algorithms with Python - Second Edition

Hands-On Data Structures and Algorithms with Python - Second Edition

Dr. Basant Agarwal, Benjamin Baka, David Julian
Data Structures & Algorithms in Python

Data Structures & Algorithms in Python

John Canning, Alan Broder, Robert Lafore

Publisher Resources

ISBN: 9781786467355Supplemental Content