PlotClustCf¶
- PlotClustCf(Graph, FNmPref, DescStr)¶
Plots the distribution of clustering coefficient of Graph. The function creates three new files: 1) ccf.<FNmPref>.plt (the commands used to create the plot), 2) ccf.<FNPref>.png (the plot), and 3) ccf.<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 clustering coefficients for nodes in TNGraph, TUNGraph, and TNEANet:
import snap
Graph = snap.GenRndGnm(snap.PNGraph, 100, 1000)
snap.PlotClustCf(Graph, "example", "Directed graph - clustering coefficient")
UGraph = snap.GenRndGnm(snap.PUNGraph, 100, 1000)
snap.PlotClustCf(UGraph, "example", "Directed graph - clustering coefficient")
Network = snap.GenRndGnm(snap.PNEANet, 100, 1000)
snap.PlotClustCf(Network, "example", "Directed graph - clustering coefficient")