# spectral_layout¶

spectral_layout(G, weight='weight', scale=1, center=None, dim=2)[source]

Position nodes using the eigenvectors of the graph Laplacian.

Parameters: G (NetworkX graph or list of nodes) 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) – Scale factor for positions center (array-like or None) – Coordinate pair around which to center the layout. dim (int) – Dimension of layout pos – 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).