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# Random Geometric Graph

Example

    import matplotlib.pyplot as plt
    import networkx as nx

    # Use seed when creating the graph for reproducibility
    G = nx.random_geometric_graph(200, 0.125, seed=896803)
    # position is stored as node attribute data for random_geometric_graph
    pos = nx.get_node_attributes(G, "pos")

    # find node near center (0.5,0.5)
    dmin = 1
    ncenter = 0
    for n in pos:
        x, y = pos[n]
        d = (x - 0.5) ** 2 + (y - 0.5) ** 2
        if d < dmin:
            ncenter = n
            dmin = d

    # color by path length from node near center
    p = dict(nx.single_source_shortest_path_length(G, ncenter))

    plt.figure(figsize=(8, 8))
    nx.draw_networkx_edges(G, pos, alpha=0.4)
    nx.draw_networkx_nodes(
        G,
        pos,
        nodelist=list(p.keys()),
        node_size=80,
        node_color=list(p.values()),
        cmap=plt.cm.Reds_r,
    )

    plt.xlim(-0.05, 1.05)
    plt.ylim(-0.05, 1.05)
    plt.axis("off")
    plt.show()

Total running time of the script: (0 minutes 0.083 seconds)

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