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Write Python code to visualize a weighted directed graph with example data
You can query a model directly and test the results returned when using
different parameter values with the Cloud console, or by calling the
Vertex AI API directly.
Write Python code to draw a directed graph using matplotlib and networkx. Show how to use the code with some example data. Include all necessary import statements.
Response
import matplotlib.pyplot as plt
import networkx as nx
# Example data: a directed graph with nodes and edges
nodes = ['A', 'B', 'C', 'D', 'E']
edges = [('A', 'B'), ('A', 'C'), ('B', 'D'), ('C', 'E'), ('D', 'E')]
# Create a directed graph object
graph = nx.DiGraph()
# Add nodes to the graph
graph.add_nodes_from(nodes)
# Add edges to the graph
graph.add_edges_from(edges)
# Draw the graph using matplotlib
nx.draw(graph, with_labels=True, node_color='lightblue', node_size=500, font_size=10, arrowsize=20)
# Display the graph
plt.show()
Explanation:
Import necessary libraries:
matplotlib.pyplot for plotting the graph.
networkx for creating and manipulating the graph.
Define example data:
nodes: A list of node names.
edges: A list of tuples representing directed edges, where each tuple is (source node, target node).
Create a directed graph object:
graph = nx.DiGraph(): Creates an empty directed graph object.
Add nodes and edges:
graph.add_nodes_from(nodes): Adds all nodes from the nodes list to the graph.
graph.add_edges_from(edges): Adds all edges from the edges list to the graph.
Draw the graph:
nx.draw(graph, ...): Draws the graph using matplotlib.
with_labels=True: Displays node labels.
node_color='lightblue': Sets the node color to light blue.
node_size=500: Sets the node size.
font_size=10: Sets the font size for labels.
arrowsize=20: Sets the arrow size for edges.
Display the graph:
plt.show(): Shows the plotted graph.
Output:
This code will generate a directed graph visualization with the specified nodes and edges. The nodes will be labeled, colored light blue, and connected by arrows representing the direction of the edges.
