CODEWITHSUNDEEP
pythonnetworkxgraph-theory
geolykos
geolykos

Reputation: 413

Parsing through edges in NetworkX graph

I'm trying to get edges that have a certain attribute from a graph without using get_edge_attributes() function. I need a more flexible way of doing it. I can get node attributes but since I'm new at python edges seem difficult

G = nx.read_graphml("test.graphml")

for n in G:
  print "%s\t%s" %(n, G.node[n].get(attr))

for (s,d) in G:       # and here is my problem
  print "%s->%s\t%s" %(s, d, G.edge[s][d].get(attr))

Upvotes: 12

Views: 18986

Answers (2)

tbrugere
tbrugere

Reputation: 1633

The accepted answer is now slightly outdated: the edges_iter method is deprecated.

The edges attribute can be used as a method or a property. (It’s actually an EdgeView value, which is iterable, and callable)

Now you can iterate over all edges this way:

for u,v in G.edges:
    print(u,v)

or, like before, with data

for u, v, d in G.edges(data=True):
    print(f"({u}, {v}) {d=}")

Upvotes: 4

Aric
Aric

Reputation: 25319

You can use the G.edges() or G.edges_iter() methods to loop over all of the graph edges. 

In [1]: import networkx as nx

In [2]: G = nx.Graph()

In [3]: G.add_edge(1,2,weight=7)

In [4]: G.add_edge(2,3,weight=10)

In [5]: for u,v,a in G.edges(data=True):
    print u,v,a
   ...:     
1 2 {'weight': 7}
2 3 {'weight': 10}

Upvotes: 19

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