bfs_predecessors

bfs_predecessors(G, source, depth_limit=None, sort_neighbors=None)

Returns an iterator of predecessors in breadth-first-search from source.

Parameters:

GNetworkX graph

sourcenode

Specify starting node for breadth-first search

depth_limitint, optional(default=len(G))

Specify the maximum search depth

sort_neighborsfunction

A function that takes the list of neighbors of given node as input, and returns an iterator over these neighbors but with custom ordering.

Returns:

pred: iterator

(node, predecessor) iterator where predecessor is the predecessor of node in a breadth first search starting from source.

See also

bfs_tree

bfs_edges

edge_bfs

Notes

Based on http://www.ics.uci.edu/~eppstein/PADS/BFS.py by D. Eppstein, July 2004. The modifications to allow depth limits based on the Wikipedia article “Depth-limited-search”.

Examples

>>> G = nx.path_graph(3)
>>> print(dict(nx.bfs_predecessors(G, 0)))
{1: 0, 2: 1}
>>> H = nx.Graph()
>>> H.add_edges_from([(0, 1), (0, 2), (1, 3), (1, 4), (2, 5), (2, 6)])
>>> print(dict(nx.bfs_predecessors(H, 0)))
{1: 0, 2: 0, 3: 1, 4: 1, 5: 2, 6: 2}
>>> M = nx.Graph()
>>> nx.add_path(M, [0, 1, 2, 3, 4, 5, 6])
>>> nx.add_path(M, [2, 7, 8, 9, 10])
>>> print(sorted(nx.bfs_predecessors(M, source=1, depth_limit=3)))
[(0, 1), (2, 1), (3, 2), (4, 3), (7, 2), (8, 7)]
>>> N = nx.DiGraph()
>>> nx.add_path(N, [0, 1, 2, 3, 4, 7])
>>> nx.add_path(N, [3, 5, 6, 7])
>>> print(sorted(nx.bfs_predecessors(N, source=2)))
[(3, 2), (4, 3), (5, 3), (6, 5), (7, 4)]