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Topological sorting of Edges in a Directed graph – Python

I have a directed graph and I want to keep the topological sort on it. So I have used the following code:
import networkx as nx

g = nx.DiGraph()
g.add_edges_from(zip([1,2,3],[2,3,1]))
print g.to_edgelist()

sorted = sorted(g.edges, key=lambda tup: tup[0])
print ‘Resulting Edge list’

But the issue I have is that it only sorts the edges with the same starting vertex. For example, it only sorts 1->2, 2->3 and 3->1.
So, how can I sort the entire list?

A:

In the definition of the key you are returning the first element of the tuple and sorting based on that. You should use the second element of the tuple as the key.
import networkx as nx

g = nx.DiGraph()
g.add_edges_from(zip([1,2,3],[2,3,1]))
print g.to_edgelist()

sorted = sorted(g.edges, key=lambda tup: tup[1])
print ‘Resulting Edge list’

Star Wars: Episode VII Wookiee-Battle 2: Neo-Nazi Wookiee

Episode Seven looks like it’s not gonna be a “happy ending”. In fact, it’s looking like we have a two-episode arc of massive destruction, and it may even be a Millennium Falcon vs Jawas episode. The only problem is, you have to pay for all of that destruction, and everyone knows the one last push you get from that is pretty typical. As a result, we’re a bit depressed about the Saga.

Now, I know. I’m not usually against a good, in-depth profile on a character I like, but in this case, I really, really dislike what Benicio Del Toro is doing with his overacting portrayal of a character who’s just terrifying enough to be scary.

First off, I donďż˝

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Autore dell'articolo: olaurz

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