What are the key features of NetworkX for graph data structures?

What are the key features of NetworkX for graph data structures?

NetworkX is a Python library for creating, manipulating, and studying complex networks. Key features include support for various graph types, algorithms for shortest paths, clustering, and visualization capabilities.

Can you explain how to create a simple graph using NetworkX?

Sure! You can create a simple graph using NetworkX by importing the library and using the Graph() function. For example:

import networkx as nx
G = nx.Graph()
G.add_edge(1, 2)
G.add_edge(2, 3)

What types of graphs can I create with NetworkX?

NetworkX supports various types of graphs, including undirected, directed, multigraphs (with multiple edges), and weighted graphs.

How can I visualize a graph created with NetworkX?

You can visualize a graph using Matplotlib. After creating your graph, you can use nx.draw(G) to display it. Make sure to import Matplotlib first!