Escribe código de Python para visualizar un grafo dirigido ponderado con datos de ejemplo
Puedes buscar un modelo directamente y probar los resultados que se muestran cuando usas valores de parámetros diferentes con la consola de Cloud o con una llamada directa a la API de Vertex AI.
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Mensaje Formato libreWrite Python code to draw nodes and edges of a weighted directed graph. Each edge should be color-coded according to its weight. Add example data to the graph to illustrate how to use the code. Respuesta```python import networkx as nx import matplotlib.pyplot as plt # Create a weighted directed graph G = nx.DiGraph() G.add_weighted_edges_from([ ('A', 'B', 0.6), ('A', 'C', 0.2), ('B', 'D', 0.1), ('C', 'D', 0.7), ]) # Color-code the edges according to their weight edge_colors = [plt.cm.jet(weight) for weight in nx.get_edge_attributes(G, 'weight').values()] # Draw the graph nx.draw(G, with_labels=True, edge_color=edge_colors) plt.show() ``` |
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