Graph Union in Networkx










1















I have two graphs:



G.nodes() = [0,3]
H.nodes() = [1,2,3,4]


I am trying to merge the graphs together while only relabeling the nodes of H and maintaining the same labels for G so the resulting graph would have the following nodes:



U.nodes() = [0,3,1,2,5,4]


Where the first two elements are from G and everything else is from H given that there is a conflict of names at node 3 it gets renamed to the next available integer.



disjoint_union from networkx doesn't work because G.nodes() get relabeled to [0,1].



Any help is appreciated!










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  • 1





    take a look at nx.union with the rename optional argument and then convert_node_labels_to_integers. (anyone interested - feel free to build on this to give a full answer)

    – Joel
    Nov 13 '18 at 17:51
















1















I have two graphs:



G.nodes() = [0,3]
H.nodes() = [1,2,3,4]


I am trying to merge the graphs together while only relabeling the nodes of H and maintaining the same labels for G so the resulting graph would have the following nodes:



U.nodes() = [0,3,1,2,5,4]


Where the first two elements are from G and everything else is from H given that there is a conflict of names at node 3 it gets renamed to the next available integer.



disjoint_union from networkx doesn't work because G.nodes() get relabeled to [0,1].



Any help is appreciated!










share|improve this question

















  • 1





    take a look at nx.union with the rename optional argument and then convert_node_labels_to_integers. (anyone interested - feel free to build on this to give a full answer)

    – Joel
    Nov 13 '18 at 17:51














1












1








1








I have two graphs:



G.nodes() = [0,3]
H.nodes() = [1,2,3,4]


I am trying to merge the graphs together while only relabeling the nodes of H and maintaining the same labels for G so the resulting graph would have the following nodes:



U.nodes() = [0,3,1,2,5,4]


Where the first two elements are from G and everything else is from H given that there is a conflict of names at node 3 it gets renamed to the next available integer.



disjoint_union from networkx doesn't work because G.nodes() get relabeled to [0,1].



Any help is appreciated!










share|improve this question














I have two graphs:



G.nodes() = [0,3]
H.nodes() = [1,2,3,4]


I am trying to merge the graphs together while only relabeling the nodes of H and maintaining the same labels for G so the resulting graph would have the following nodes:



U.nodes() = [0,3,1,2,5,4]


Where the first two elements are from G and everything else is from H given that there is a conflict of names at node 3 it gets renamed to the next available integer.



disjoint_union from networkx doesn't work because G.nodes() get relabeled to [0,1].



Any help is appreciated!







python-3.x union networkx






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asked Nov 13 '18 at 17:34









mb567mb567

351211




351211







  • 1





    take a look at nx.union with the rename optional argument and then convert_node_labels_to_integers. (anyone interested - feel free to build on this to give a full answer)

    – Joel
    Nov 13 '18 at 17:51













  • 1





    take a look at nx.union with the rename optional argument and then convert_node_labels_to_integers. (anyone interested - feel free to build on this to give a full answer)

    – Joel
    Nov 13 '18 at 17:51








1




1





take a look at nx.union with the rename optional argument and then convert_node_labels_to_integers. (anyone interested - feel free to build on this to give a full answer)

– Joel
Nov 13 '18 at 17:51






take a look at nx.union with the rename optional argument and then convert_node_labels_to_integers. (anyone interested - feel free to build on this to give a full answer)

– Joel
Nov 13 '18 at 17:51













1 Answer
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Like @Joel states:



import networkx as nx
import matplotlib.pyplot as plt

_,ax = plt.subplots(1,3, figsize=(10,8))
G = nx.Graph()
G.add_nodes_from([0,3])
nx.draw_networkx(G, ax=ax[0], title='G')

H = nx.Graph()
H.add_nodes_from([1,2,3,4])
nx.draw_networkx(H, ax=ax[1])

U = nx.union(G, H, rename=('G-','H-'))
nx.draw_networkx(U, ax=ax[2])
print(U.nodes())


Output:



NodeView(('G-0', 'G-3', 'H-1', 'H-2', 'H-3', 'H-4'))


enter image description here






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    1 Answer
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    oldest

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    1 Answer
    1






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    1














    Like @Joel states:



    import networkx as nx
    import matplotlib.pyplot as plt

    _,ax = plt.subplots(1,3, figsize=(10,8))
    G = nx.Graph()
    G.add_nodes_from([0,3])
    nx.draw_networkx(G, ax=ax[0], title='G')

    H = nx.Graph()
    H.add_nodes_from([1,2,3,4])
    nx.draw_networkx(H, ax=ax[1])

    U = nx.union(G, H, rename=('G-','H-'))
    nx.draw_networkx(U, ax=ax[2])
    print(U.nodes())


    Output:



    NodeView(('G-0', 'G-3', 'H-1', 'H-2', 'H-3', 'H-4'))


    enter image description here






    share|improve this answer



























      1














      Like @Joel states:



      import networkx as nx
      import matplotlib.pyplot as plt

      _,ax = plt.subplots(1,3, figsize=(10,8))
      G = nx.Graph()
      G.add_nodes_from([0,3])
      nx.draw_networkx(G, ax=ax[0], title='G')

      H = nx.Graph()
      H.add_nodes_from([1,2,3,4])
      nx.draw_networkx(H, ax=ax[1])

      U = nx.union(G, H, rename=('G-','H-'))
      nx.draw_networkx(U, ax=ax[2])
      print(U.nodes())


      Output:



      NodeView(('G-0', 'G-3', 'H-1', 'H-2', 'H-3', 'H-4'))


      enter image description here






      share|improve this answer

























        1












        1








        1







        Like @Joel states:



        import networkx as nx
        import matplotlib.pyplot as plt

        _,ax = plt.subplots(1,3, figsize=(10,8))
        G = nx.Graph()
        G.add_nodes_from([0,3])
        nx.draw_networkx(G, ax=ax[0], title='G')

        H = nx.Graph()
        H.add_nodes_from([1,2,3,4])
        nx.draw_networkx(H, ax=ax[1])

        U = nx.union(G, H, rename=('G-','H-'))
        nx.draw_networkx(U, ax=ax[2])
        print(U.nodes())


        Output:



        NodeView(('G-0', 'G-3', 'H-1', 'H-2', 'H-3', 'H-4'))


        enter image description here






        share|improve this answer













        Like @Joel states:



        import networkx as nx
        import matplotlib.pyplot as plt

        _,ax = plt.subplots(1,3, figsize=(10,8))
        G = nx.Graph()
        G.add_nodes_from([0,3])
        nx.draw_networkx(G, ax=ax[0], title='G')

        H = nx.Graph()
        H.add_nodes_from([1,2,3,4])
        nx.draw_networkx(H, ax=ax[1])

        U = nx.union(G, H, rename=('G-','H-'))
        nx.draw_networkx(U, ax=ax[2])
        print(U.nodes())


        Output:



        NodeView(('G-0', 'G-3', 'H-1', 'H-2', 'H-3', 'H-4'))


        enter image description here







        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Nov 13 '18 at 20:36









        Scott BostonScott Boston

        52.9k72955




        52.9k72955



























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