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# Labels And Colors

Use `nodelist` and `edgelist` to apply custom coloring and labels to various components of a graph.

    import matplotlib.pyplot as plt
    import networkx as nx

    G = nx.cubical_graph()
    pos = nx.spring_layout(G, seed=3113794652)  # positions for all nodes

    # nodes
    options = {"edgecolors": "tab:gray", "node_size": 800, "alpha": 0.9}
    nx.draw_networkx_nodes(G, pos, nodelist=[0, 1, 2, 3], node_color="tab:red", **options)
    nx.draw_networkx_nodes(G, pos, nodelist=[4, 5, 6, 7], node_color="tab:blue", **options)

    # edges
    nx.draw_networkx_edges(G, pos, width=1.0, alpha=0.5)
    nx.draw_networkx_edges(
        G,
        pos,
        edgelist=[(0, 1), (1, 2), (2, 3), (3, 0)],
        width=8,
        alpha=0.5,
        edge_color="tab:red",
    )
    nx.draw_networkx_edges(
        G,
        pos,
        edgelist=[(4, 5), (5, 6), (6, 7), (7, 4)],
        width=8,
        alpha=0.5,
        edge_color="tab:blue",
    )

    # some math labels
    labels = {}
    labels[0] = r"$a$"
    labels[1] = r"$b$"
    labels[2] = r"$c$"
    labels[3] = r"$d$"
    labels[4] = r"$\alpha$"
    labels[5] = r"$\beta$"
    labels[6] = r"$\gamma$"
    labels[7] = r"$\delta$"
    nx.draw_networkx_labels(G, pos, labels, font_size=22, font_color="whitesmoke")

    plt.tight_layout()
    plt.axis("off")
    plt.show()

Total running time of the script: (0 minutes 0.135 seconds)

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