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Weighted Graph#
An example using Graph as a weighted network.
👁 plot weighted graph
importmatplotlib.pyplotasplt importnetworkxasnx G = nx.Graph() G.add_edge("a", "b", weight=0.6) G.add_edge("a", "c", weight=0.2) G.add_edge("c", "d", weight=0.1) G.add_edge("c", "e", weight=0.7) G.add_edge("c", "f", weight=0.9) G.add_edge("a", "d", weight=0.3) elarge = [(u, v) for (u, v, d) in G.edges(data=True) if d["weight"] > 0.5] esmall = [(u, v) for (u, v, d) in G.edges(data=True) if d["weight"] <= 0.5] pos = nx.spring_layout(G, seed=7) # positions for all nodes - seed for reproducibility # nodes nx.draw_networkx_nodes(G, pos, node_size=700) # edges nx.draw_networkx_edges(G, pos, edgelist=elarge, width=6) nx.draw_networkx_edges( G, pos, edgelist=esmall, width=6, alpha=0.5, edge_color="b", style="dashed" ) # node labels nx.draw_networkx_labels(G, pos, font_size=20, font_family="sans-serif") # edge weight labels edge_labels = nx.get_edge_attributes(G, "weight") nx.draw_networkx_edge_labels(G, pos, edge_labels) ax = plt.gca() ax.margins(0.08) plt.axis("off") plt.tight_layout() plt.show()
Total running time of the script: (0 minutes 0.075 seconds)