PlotSccDistr (SWIG)

PlotSccDistr(Graph, FNmPref, DescStr)

Plots the distribution of sizes of strongly connected components of Graph. The function creates three new files: 1) scc.<FNmPref>.plt (the commands used to create the plot), 2) scc.<FNPref>.png (the plot), and 3) scc.<FNmPref>.tab (the plotting data).

Parameters:

• Graph: graph (input)

  A Snap.py graph or a network.

• FNmPref: string (input)

  A string representing the preferred output file name.

• DescStr: string (input)

  Description of the graph. The string should be non-empty.

Return value:

• None

The following example shows how to plot the distribution of sizes of strongly connected components for TNGraph, TUNGraph, and TNEANet:

import snap

Graph = snap.GenRndGnm(snap.PNGraph, 100, 1000)
snap.PlotSccDistr(Graph, "example", "Directed graph - scc distribution")

UGraph = snap.GenRndGnm(snap.PUNGraph, 100, 1000)
snap.PlotSccDistr(UGraph, "example", "Undirected graph - scc distribution")

Network = snap.GenRndGnm(snap.PNEANet, 100, 1000)
snap.PlotSccDistr(Network, "example", "Network - scc distribution")