I found this thread shows how to create and visualise a directed weighted graph. I improved on the answer provided there, slightly: import random import networkx as nx import matplotlib.pyplot as plt from netgraph import MultiGraph def create_graph_from_data(nodes, edges): G = nx.MultiDiGraph() # Add nodes from the provided list G.add_nodes_from(nodes) # Add edges from the provided list of tuples (node1, node2, weight) for (node1, node2, weight) in edges: G.add_edge(node1, node2, weight=weight) return G # Example usage: nodes = [0, 1, 2, 3, 4] # Custom list of nodes edges = [ (0, 1, 5), # Edge from node 0 to node 1 with weight 5 (1, 2, 3), # Edge from node 1 to node 2 with weight 3 (2, 3, 2), # Edge from node 2 to node 3 with weight 2 (3, 4, 4), # Edge from node 3 to node 4 with weight 4 (4, 0, 6), # Edge from node 4 to node 0 with weight 6 (0, 2, 7), # Edge from node 0 to node 2 with weight 7 (1, 4, 8) # Edge from node 1 to node 4 with weight 8 ] # Create the graph from the custom nodes and edges G = create_graph_from_data(nodes, edges) # Display the graph MultiGraph( G, node_labels=True, node_color="skyblue", edge_color="gray", edge_labels=nx.get_edge_attributes(G, 'weight'), edge_label_fontdict=dict(fontsize=8), arrows=True, ) plt.show() Is there a way to make this interactive on Dash? I want to eventually be able to say: show me only nodes 0, 2 and 3. Continue reading...
