Utils¶
-
utils.
curved_edges
(G, pos, dist_ratio=0.2, bezier_precision=20, polarity='random')¶ Internal function to enable Bezier curved edges. Code originally from ‘beyondbeneath’ @ https://github.com/beyondbeneath/bezier-curved-edges-networkx
-
utils.
get_adjacency_spectrum
(graph, k=inf, eigvals_only=False, which='LA')¶ Gets the top k eigenpairs of the adjacency matrix
- Parameters
graph – undirected NetworkX graph
k – number of top k eigenpairs to obtain
eigvals_only – get only the eigenvalues i.e., no eigenvectors
which – the type of k eigenvectors and eigenvalues to find
- Returns
the eigenpair information
-
utils.
get_laplacian
(graph)¶ Gets the Laplacian matrix in sparse CSR format
- Parameters
graph – undirected NetworkX graph
- Returns
Scipy sparse Laplacian matrix
-
utils.
get_laplacian_spectrum
(graph, k=inf, which='SM', tol=0.01, eigvals_only=True)¶ Gets the bottom k eigenpairs of the Laplacian matrix
- Parameters
graph – undirected NetworkX graph
k – number of bottom k eigenpairs to obtain
which – he type of k eigenvectors and eigenvalues to find
tol – the precision at which to stop computing the eigenpairs
eigvals_only – get only the eigenvalues i.e., no eigenvectors
- Returns
the eigenpair information
-
utils.
get_sparse_graph
(graph)¶ Returns a sparse adjacency matrix in CSR format
- Parameters
graph – undirected NetworkX graph
- Returns
Scipy sparse adjacency matrix