is_negatively_weighted(G, edge=None, weight='weight')
A NetworkX graph.
A 2-tuple specifying the only edge in G that will be tested. If None, then every edge in G is tested.
The attribute name used to query for edge weights.
If the specified edge does not exist.
A boolean signifying if G, or the specified edge, is negatively weighted.
Returns True if G has negatively weighted edges.
>>> G = nx.Graph()
... G.add_edges_from([(1, 3), (2, 4), (2, 6)])
... G.add_edge(1, 2, weight=4)
... nx.is_negatively_weighted(G, (1, 2)) False
>>> G[2][4]["weight"] = -2
... nx.is_negatively_weighted(G) True
>>> G = nx.DiGraph()See :
... edges = [("0", "3", 3), ("0", "1", -5), ("1", "0", -2)]
... G.add_weighted_edges_from(edges)
... nx.is_negatively_weighted(G) True
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networkx.classes.function.is_negatively_weighted
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