Subgraph Drawing

[Steven D'Aprano]

On Sun, 13 Jan 2013 12:05:54 -0800, subhabangalore wrote:

> Dear Group,
> 
> I have two questions, if I take a subseries of the matrix as in
> eigenvalue here, provided I have one graph of the full form in G, how
> may I show it, as if I do the nx.draw(G) it takes only the original
> graph.

Is this what you mean? If not, you will have to explain your question 
better.


L = = nx.laplacian(G)
E = numpy.linalg.eigvals(L)
nx.draw(E)


> >>> print numpy.linalg.eigvals(L)
> [  8.00000000e+00   2.22044605e-16   1.00000000e+00   1.00000000e+00
>    1.00000000e+00   1.00000000e+00   1.00000000e+00   1.00000000e+00]
> for more than 1000 nodes it is coming too slow on Windows 7 machine with
> 3GB RAM.

Get a faster machine. Or use fewer nodes. Or be patient and wait.

Solving a graph problem with 1000 nodes is a fairly big problem for a 
desktop PC. It will take time. Calculations don't just happen instantly, 
the more work you have to do the longer they take.

The last alternative is to ask on a specialist numpy list. But I expect 
they will probably tell you the same thing.


-- 
Steven