PlotEigValRank¶
- PlotEigValRank(Graph, NumEigenvalues, FNmPref, DescStr)¶
Plots the distribution of the ranks of the first NumEigenvalues eigenvalues of the undirected graph Graph. The function creates three new files: 1) eigVal.<FNmPref>.plt (the commands used to create the plot), 2) eigVal.<FNPref>.png (the plot), and 3) eigVal.<FNmPref>.tab (the plotting data).
Parameters:
- Graph: undirected graph (input)
A Snap.py undirected graph.
- NumEigenvalues: int (input)
The plot will contain the ranks of the first NumEigenvalues eigenvalues’. ranks
- FNmPref: string (input)
File name preference for the plotted graph.
- DescStr: string (input)
Description of the graph. The string should be non-empty.
Return value:
- None
The following example shows how to plot the eigenvalue rank distribution of an undirected graph of type TUNGraph:
import snap
UGraph = snap.GenRndGnm(snap.PUNGraph, 100, 2000)
# Plot the ranks of the first 10 eigenvalues
# NOTE: Random graphs are likely to thwart the calculation of eigenvalues
snap.PlotEigValRank(UGraph, 10, "example", "Random Graph Eigenvalue Rank")