load graph from graph-tool about python-igraph

[szhorvat]

Can you make the example complete? We don't have the data files that you are loading.

Ideally, make an example that does not rely on any data files. If not possible, please provide the data files.

[amwps290]

@szhorvat
the pgp.xml download from https://networks.skewed.de/net/pgp_strong/files/pgp_strong.xml.zst,
the escorts download from https://networks.skewed.de/net/escorts/files/escorts.xml.zst.

#!/bin/env python

from igraph import *
import graph_tool.all as gt
import timeit

gt1 = gt.load_graph("pgp.xml")
ut1 = gt.load_graph("escorts.xml")



g = Graph.from_graph_tool(gt1)
u = Graph.from_graph_tool(ut1)

if __name__ == "__main__":

    print("Profiling shortest path")
    print("=======================")
    print()

    n=1000
    print(timeit.timeit("u.shortest_paths([u.vs[0]])", setup="from __main__ import u", number=n)/n)

    print()
    print("Profiling clustering")
    print("==================")
    print()

    n=100
    print(timeit.timeit("u.transitivity_undirected()", setup="from __main__ import u", number=n)/n)

    print()
    print("Profiling PageRank")
    print("==================")
    print()

    n=100
    print(timeit.timeit("g.pagerank(damping=0.85)", setup="from __main__ import g", number=n)/n)

    print()
    print("Profiling k-core")
    print("================")
    print()

    n=1000
    print(timeit.timeit("u.coreness(mode='all')", setup="from __main__ import u", number=n)/n)


    print()
    print("Profiling minimum spanning tree")
    print("===============================")
    print()

    n=1000
    print(timeit.timeit("u.spanning_tree()", setup="from __main__ import u", number=n)/n)

    print()
    print("Profiling betweenness")
    print("=====================")
    print()

    n=3
    print(timeit.timeit("g.betweenness()", setup="from __main__ import g", number=n)/n)
    print(timeit.timeit("g.edge_betweenness()", setup="from __main__ import g", number=n)/n)

[ntamas]

I'll take a look, stay tuned.