The graph-tools module is a Python package designed for handling directed and undirected graphs, as well as complex networks. It emphasizes performance and provides a wide range of graph algorithms and data structures. It was initially developed for networking researchers who conduct experiments in the field of graph theory and network science. In this article, we will explain the Python Graph Tools Module.

Graph-Tools provides powerful tools for graph manipulation and analysis in Python.

Python Graph Tools Module

Below are the steps and examples of the Python Graph tools module:

Install Graph Tools Module

To use the Python Graph Tools Module, first, we need to install it in our system. To install the Python Graph Tools Module use the below command.

pip install graph_tools

Graph Tools Module Example

In this example, below code uses the graph_tools module to create, analyze, and manipulate graphs. It first creates a directed graph with four nodes and two edges, prints it, and finds the shortest paths from vertex 1. Then, it generates a Barabasi-Albert graph with 100 vertices and checks if all vertices are mutually connected.

from graph_tools import Graph

# Create a directed graph with four nodes and two edges
g = Graph(directed=True)
g.add_edge(1, 2)
g.add_edge(2, 3)
print(g)

# Find all shortest paths from vertex 1
dist, prev = g.dijkstra(1)
print(dist)

# Generate a Barabasi-Albert (BA) graph with 100 vertices
g = Graph(directed=False).create_graph('barabasi', 100)

# Check if all vertices are mutually connected
print(g.is_connected())

# This code is contributed by Susobhan Akhuli

Output

// Generated by graph-tools (version 1.1) at 2024/05/04/11/24 16:05:50]
// directed, 4 vertices, 2 edges
digraph export_dot {
  node [color=gray90,style=filled];
  1;
  2;
  3;
  4;
  1 -> 2;
  2 -> 3;
}

{1: 0, 2: 1, 3: 2, 4: inf}
True