# spectral_layout¶

spectral_layout(G, dim=2, weight='weight', scale=1.0, center=None)[source]

Position nodes using the eigenvectors of the graph Laplacian.

Parameters: G (NetworkX graph or list of nodes) – dim (int) – Dimension of layout weight (string or None optional (default='weight')) – The edge attribute that holds the numerical value used for the edge weight. If None, then all edge weights are 1. scale (float optional (default 1)) – Scale factor for positions, i.e. nodes placed in a box with side [0, scale] or centered on $$center$$ if provided. center (array-like (default scale/2 in each dim)) – Coordinate around which to center the layout. A dictionary of positions keyed by node dict

Examples

>>> G=nx.path_graph(4)
>>> pos=nx.spectral_layout(G)


Notes

Directed graphs will be considered as undirected graphs when positioning the nodes.

For larger graphs (>500 nodes) this will use the SciPy sparse eigenvalue solver (ARPACK).