Is required that is expected to be added to the node’s data payload. There are no optional attributes for nodes. Nodes can only be accessed by an integer node index (which is returned by anyįunction adding a node). In retworkx any python object (hashable or not) can be used as a node, however Additionally, you can set optional attributes In networkx a node can be any hashable python object. Typed and you can pass a graph object to any function and it will work asĮxpected (unless it isn’t supported and then it will raise an exception). This is different from networkx where everything is pretty much dynamically Generally, functions prefixed with graph_* and digraph_* explicitly typed.Įxplicitly typed functions also indicate their type on the docstrings. This means that they either always return or acceptīoth. ![]() The other large difference to keep in mind is that many functions in retworkxĪre explicitly typed. digraph_floyd_warshall_numpy ( graph, weight_fn = lambda edge : edge ) extend_from weighted_edge_list ( ) dist_matrix = rx.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |