LoadEdgeList (SWIG)

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.

Parameters:

• 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')
LoadedGraph.Dump()

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

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