LoadConnList(GraphType, InFNm)

Loads a graph from a text file InFNm.

InFNm is a whitespace separated file of several columns: <source node id> <destination node id 1> <destination node id 2> ... First column of each line contains a source node id followed by ids of the destination nodes. Node ids must be ints. For example, ‘1 2 3’ encodes edges 1–>2 and 1–>3. Note that this format allows for saving isolated nodes.


  • GraphType: graph class (input)

    Class of output graph – one of PNGraph, PNEANet, or PUNGraph.

  • InFNm: string (input)

    Filename with the description of the graph nodes and edges.

Return value:

  • graph

    A Snap.py graph of the specified type GraphType.

The following example shows how to load a graph using LoadConnList() from a file named “test.txt”:

import snap

Graph = snap.LoadConnList(snap.PNGraph, "test.txt")
for EI in Graph.Edges():
    print "edge (%d, %d)" % (EI.GetSrcNId(), EI.GetDstNId())

UGraph = snap.LoadConnList(snap.PUNGraph, "test.txt")
for EI in UGraph.Edges():
    print "edge (%d, %d)" % (EI.GetSrcNId(), EI.GetDstNId())

Network = snap.LoadConnList(snap.PNEANet, "test.txt")
for EI in Network.Edges():
    print "edge (%d, %d)" % (EI.GetSrcNId(), EI.GetDstNId())

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