LoadConnList

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.

Parameters:

• GraphType: graph class

  Class of output graph – one of TNGraph, TNEANet, or TUNGraph.

• InFNm: string

  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.TNGraph, "test.txt")
for EI in Graph.Edges():
    print("edge (%d, %d)" % (EI.GetSrcNId(), EI.GetDstNId()))

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

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