- graph_adjacency_matrix(graph, /, weight_fn=None, default_weight=1.0, null_value=0.0)#
Return the adjacency matrix for a PyGraph class
In the case where there are multiple edges between nodes the value in the output matrix will be the sum of the edges’ weights.
graph (PyGraph) – The graph used to generate the adjacency matrix from
A callable object (function, lambda, etc) which will be passed the edge object and expected to return a
float. This tells rustworkx/rust how to extract a numerical weight as a
floatfor edge object. Some simple examples are:
graph_adjacency_matrix(graph, weight_fn: lambda x: 1)
to return a weight of 1 for all edges. Also:
graph_adjacency_matrix(graph, weight_fn: lambda x: float(x))
to cast the edge object as a float as the weight. If this is not specified a default value (either
default_weightor 1) will be used for all edges.
default_weight (float) – If
weight_fnis not used this can be optionally used to specify a default weight to use for all edges.
null_value (float) – An optional float that will treated as a null value. This is the default value in the output matrix and it is used to indicate the absence of an edge between 2 nodes. By default this is
The adjacency matrix for the input graph as a numpy array
- Return type: