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There are many python network/graph packages out there. With a quick search one can find for instance 'NetworkX' package. So the following questions arise:
Could we take advantage of the already implemented algorithms in those packages?
If answer of '1' is 'yes', which package would suit us better?
The text was updated successfully, but these errors were encountered:
With NetworkX, the solution to the problem of finding all elementary graphs could be solved with:
importnetworkxasnximportmatplotlib.pyplotasplt# Create Directed GraphG=nx.DiGraph()
# Add a list of nodes:G.add_nodes_from(["a","b","c","d","e"])
# Add a list of edges:G.add_edges_from([("a","b"),("b","c"), ("c","a"), ("b","d"), ("d","e"), ("e","a")])
# Return a list of cycles described as a list o nodeslist(nx.simple_cycles(G))
There are many python network/graph packages out there. With a quick search one can find for instance 'NetworkX' package. So the following questions arise:
The text was updated successfully, but these errors were encountered: