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# igraph

igraph (https://igraph.org/) is a popular network analysis package that provides (among many other things) functions to convert to/from NetworkX.

    import matplotlib.pyplot as plt
    import networkx as nx
    import igraph as ig

## NetworkX to igraph

    G = nx.dense_gnm_random_graph(30, 40, seed=42)

    # largest connected component
    components = nx.connected_components(G)
    largest_component = max(components, key=len)
    H = G.subgraph(largest_component)

    # convert to igraph
    h = ig.Graph.from_networkx(H)

    # Plot the same network with NetworkX and igraph
    fig, (ax0, ax1) = plt.subplots(nrows=1, ncols=2, figsize=(12, 6))

    # NetworkX draw
    ax0.set_title("Plot with NetworkX draw")
    nx.draw_kamada_kawai(H, node_size=50, ax=ax0)

    # igraph draw
    ax1.set_title("Plot with igraph plot")
    layout = h.layout_kamada_kawai()
    ig.plot(h, layout=layout, target=ax1)
    plt.axis("off")
    plt.show()

## igraph to NetworkX

    g = ig.Graph.GRG(30, 0.2)
    G = g.to_networkx()
    nx.draw(G, node_size=50)
    plt.show()

Total running time of the script: (0 minutes 0.500 seconds)

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