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networkx.DiGraph.in_degree_iter

networkx.DiGraph.in_degree

DiGraph.in_degree(nbunch=None, weighted=False)

Return the in-degree of a node or nodes.

The node in-degree is the number of edges pointing in to the node.

Parameters:

nbunch : iterable container, optional (default=all nodes)

A container of nodes. The container will be iterated through once.

weighted : bool, optional (default=False)

If True return the sum of edge weights adjacent to the node.

Returns:

nd : dictionary, or number

A dictionary with nodes as keys and in-degree as values or a number if a single node is specified.

Examples

>>> G = nx.DiGraph()   # or MultiDiGraph
>>> G.add_path([0,1,2,3])
>>> G.in_degree(0)
0
>>> G.in_degree([0,1])
{0: 0, 1: 1}
>>> G.in_degree([0,1]).values()
[0, 1]