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        "%matplotlib inline"
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        "\n# Atlas\n\nAtlas of all connected graphs with up to 6 nodes.\n\nThis example uses Graphviz via PyGraphviz.\n\nThe image should show 142 graphs.\nWe don't plot the empty graph nor the single node graph.\n(142 is the sum of values 2 to n=6 in sequence oeis.org/A001349).\n"
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      "source": [
        "import random\n\nimport matplotlib.pyplot as plt\nimport networkx as nx\n\n\nGraphMatcher = nx.isomorphism.vf2userfunc.GraphMatcher\n\n\ndef atlas6():\n    \"\"\"Return the atlas of all connected graphs with at most 6 nodes\"\"\"\n\n    Atlas = nx.graph_atlas_g()[3:209]  # 0, 1, 2 => no edges. 208 is last 6 node graph\n    U = nx.Graph()  # graph for union of all graphs in atlas\n    for G in Atlas:\n        # check if connected\n        if nx.number_connected_components(G) == 1:\n            # check if isomorphic to a previous graph\n            if not GraphMatcher(U, G).subgraph_is_isomorphic():\n                U = nx.disjoint_union(U, G)\n    return U\n\n\nG = atlas6()\n\nprint(G)\nprint(nx.number_connected_components(G), \"connected components\")\n\nplt.figure(1, figsize=(8, 8))\n# layout graphs with positions using graphviz neato\npos = nx.nx_agraph.graphviz_layout(G, prog=\"neato\")\n# color nodes the same in each connected subgraph\nC = (G.subgraph(c) for c in nx.connected_components(G))\nfor g in C:\n    c = [random.random()] * nx.number_of_nodes(g)  # random color...\n    nx.draw(g, pos, node_size=40, node_color=c, vmin=0.0, vmax=1.0, with_labels=False)\nplt.show()"
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