Ni! Hello Phillip,
Don't think there's a boxed method for this task, but you can easily
improve your algorithm, though that is no longer a question for graph-tool.

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Two possible ways to improve it:
* you could use the fact that the min() function in Python takes an
iterable as argument, and pass it something like the generator below:
# chain must be imported from itertools
for v in g.vertices():
g.vp.year[v] = min( g.ep.year[e] for e in chain(v.out_edges(),
v.in_edges()) )
* you could iterate only once over g.edges() and then, update the g.vp.year
of source and target for each edge.
I would go with something like this:
# this assumes g.vp.year was initlized to a large value by passing 'val' to
new_vertex_property()
for e in g.edges():
for v in (e.source(), e.target()):
if g.vp.year[v] > g.ep.year[e]:
g.vp.year[v] = g.ep.year[e]
Yet again, this has little to do with graph tool, you might prefer to look
for advice in general programming.
Cheers,
ale
.~'
On Fri, Sep 16, 2016 at 1:57 PM, P-M <pm...@cam.ac.uk> wrote:
> I have a network where each of my edges is labelled with a date. I want to
> now also label my vertices so that each vertex has a date assigned to it
> corresponding to the minimum date of all edges incident and emanating from
> it. Is there an inbuilt function to find this which would be faster than me
> looping over all vertices and then all edges for each vertex manually? My
> current code idea is:
>
> lowest_year = 2016
> for v in g.vertices():
> for e in v.in_edges():
> year = g.ep.year[e]
> lowest_year = min(year,lowest_year)
> for e in v.out_edges():
> year = g.ep.year[e]
> lowest_year = min(year,lowest_year)
> g.vp.year[v]=lowest_year
> lowest_year = 2016
>
>
>
>
>
> --
> View this message in context: http://main-discussion-list-
> for-the-graph-tool-project.982480.n3.nabble.com/Find-
> minimum-value-of-edge-property-for-all-edges-connected-to-a-given-node-
> tp4026722.html
> Sent from the Main discussion list for the graph-tool project mailing list
> archive at Nabble.com.
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