Thank you very much! Just managed to get it done
Here is what I did
type_list = []
for vertex in g.vs:
if vertex["name"].startswith("#"):
type_list.append(True)
else:
type_list.append(False)
g.vs["type"] = type_list
Perhaps not the best Python code but the projection returns the correct
partitions!
BTW: do you guys keep track of the citations for the sake of funds? I am
happy to provide a list of my own citations unless of course you have
Google Scholar notifies you.
Thanks again,
-Ahmed
On Wed, May 20, 2015 at 3:17 PM, Tamas Nepusz <[email protected]> wrote:
> > reader = csv.DictReader(open("bipartite-test.csv"), dialect="excel")
> > g = igraph.Graph.DictList(vertices=None, edges=reader, directed=False)
> >
> > Now do I need to loop over the g.vs["type"] or there is a quicker way?
> You need to produce a list of length g.vcount() where the i-th element is
> True
> or False and then simply say:
>
> g.vs["type"] = your_list
>
> T.
>
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