networkx.classes.function.edge_subgraph¶

edge_subgraph
(G, edges)[source]¶ Returns a view of the subgraph induced by the specified edges.
The induced subgraph contains each edge in
edges
and each node incident to any of those edges.Parameters:  G (NetworkX Graph)
 edges (iterable) – An iterable of edges. Edges not present in
G
are ignored.
Returns: subgraph – A readonly edgeinduced subgraph of
G
. Changes toG
are reflected in the view.Return type: SubGraph View
Notes
To create a mutable subgraph with its own copies of nodes edges and attributes use
subgraph.copy()
orGraph(subgraph)
If you create a subgraph of a subgraph recursively you can end up with a chain of subgraphs that becomes very slow with about 15 nested subgraph views. Luckily the edge_subgraph filter nests nicely so you can use the original graph as G in this function to avoid chains. We do not rule out chains programmatically so that odd cases like an
edge_subgraph
of arestricted_view
can be created.Examples
>>> import networkx as nx >>> G = nx.path_graph(5) >>> H = G.edge_subgraph([(0, 1), (3, 4)]) >>> list(H.nodes) [0, 1, 3, 4] >>> list(H.edges) [(0, 1), (3, 4)]