pygraphs.graph_to_edges_list#
- graph_to_edges_list(graph, *, weighted=False, weight_key='weight', dicted=True, skip_validation=False)[source]#
Convert a graph represented as a dictionary (
GraphRepresentation) to a graph represented as an edge list (Edges).Edges:
List[Tuple[Integral, Integral]]: A list of tuples, where each tuple represents an edge \((u, v)\) in the graph (from vertex \(u\) to vertex \(v\)). For a undirected graph consider converting inpygraphs.Graphclass and use theto_undirectedmethod to duplicate \((u, v)\) into \((u, v)\) and \((v, u)\). For a weighted graph, the formList[Tuple[Integral, Integral, Real]]containing \((u, v, w)\) is used, where \(u\) and \(v\) are the vertices connected by the edge and \(w\) is the weight of the edge. To store more than weight, the formList[Tuple[Integral, Integral, Dict[str, Any]]]is used.
GraphRepresentation:
Dict[int, Dict[int, Dict[str, Any]]]: A dictionary where the keys are vertex identifiers and the values are dictionaries mapping neighboring vertex identifiers to edge attributes (e.g.,weight). This is the internal representation used by thepygraphs.Graphclass.
- Parameters:
graph (GraphRepresentation) – The graph represented as a dictionary.
weighted (bool, optional (default:
False)) – Whether to represent the graph asList[Tuple[Integral, Integral, Real]].weight_key (Optional[str], optional (default:
'weight')) – The key to use for accessing the weight of an edge in the graph representation. Ignored ifweightedis False.dicted (bool, optional (default:
False)) – Whether to represent the graph asList[Tuple[Integral, Integral, Dict[str, Any]]].
- Returns:
edge_list – The graph represented as an edge list.
- Return type:
Edges