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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 ...

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Publisher Resources

ISBN: 9781786467355