LoadEdgeList(PGraph, InFNm, SrcColId, DstColId, Separator)

Loads a (directed, undirected or multi) graph from a text file InFNm with 1 edge per line (columns separated by Separator, int node ids).

InFNm is a Separator separated file of several columns: ... <source node id> ... <destination node id> ... Since the function assumes each line of the file encodes a single edge and a line in the file can have more than 2 columns, SrcColId and DstColId must be provided to indicate which column gives the source and which column gives the destination of the edge. Node ids must be ints.


  • GraphType: graph class (input)

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

  • InFNm: string (input)

    Filename with the description of the graph edges.

  • SrcColId: int (input)

    The column number in the file, which contains the node id representing the source vertex.

  • DstColId: int (input)

    The column number in the file, which contains the node id representing the destination vertex.

  • Separator: char (input)

    Column separator.

Return value:

  • graph

    A Snap.py graph or a network represented by the InFNm of type GraphType.

The following example shows how to load edge lists for TNGraph, TUNGraph, and TNEANet:

import snap

Graph = snap.GenRndGnm(snap.PNGraph, 100, 1000)
snap.SaveEdgeList(Graph, "PNGraph.edges")
LoadedGraph = snap.LoadEdgeList(snap.PNGraph, "PNGraph.edges", 0, 1, '\t')

UGraph = snap.GenRndGnm(snap.PUNGraph, 100, 1000)
snap.SaveEdgeList(UGraph, "PUNGraph.edges")
LoadedUGraph = snap.LoadEdgeList(snap.PUNGraph, "PUNGraph.edges", 0, 1, '\t')

Network = snap.GenRndGnm(snap.PNEANet, 100, 1000)
snap.SaveEdgeList(Network, "PNEANet.edges")
LoadedNet = snap.LoadEdgeList(snap.PNEANet, "PNEANet.edges", 0, 1, '\t')

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