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 (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())