transitive_closure_dag#
- transitive_closure_dag(G, topo_order=None)[source]#
Returns the transitive closure of a directed acyclic graph.
This function is faster than the function
transitive_closure
, but fails if the graph has a cycle.The transitive closure of G = (V,E) is a graph G+ = (V,E+) such that for all v, w in V there is an edge (v, w) in E+ if and only if there is a non-null path from v to w in G.
- Parameters:
- GNetworkX DiGraph
A directed acyclic graph (DAG)
- topo_order: list or tuple, optional
A topological order for G (if None, the function will compute one)
- Returns:
- NetworkX DiGraph
The transitive closure of
G
- Raises:
- NetworkXNotImplemented
If
G
is not directed- NetworkXUnfeasible
If
G
has a cycle
Notes
This algorithm is probably simple enough to be well-known but I didnâ€™t find a mention in the literature.
Examples
>>> DG = nx.DiGraph([(1, 2), (2, 3)]) >>> TC = nx.transitive_closure_dag(DG) >>> TC.edges() OutEdgeView([(1, 2), (1, 3), (2, 3)])