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symmetric_difference(G, H)

The node sets of H and G must be the same.

Notes

Attributes from the graph, nodes, and edges are not copied to the new graph.

Parameters

G,H : graph

A NetworkX graph. G and H must have the same node sets.

Returns

D : A new graph with the same type as G.

Returns new graph with edges that exist in either G or H but not both.

Examples

>>> G = nx.Graph([(0, 1), (0, 2), (1, 2), (1, 3)])
... H = nx.Graph([(0, 1), (1, 2), (0, 3)])
... R = nx.symmetric_difference(G, H)
... R.nodes NodeView((0, 1, 2, 3))
>>> R.edges
EdgeView([(0, 2), (0, 3), (1, 3)])
See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

networkx.algorithms.operators.binary.symmetric_difference

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


GitHub : /networkx/algorithms/operators/binary.py#217
type: <class 'function'>
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