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union(G, H, rename=(None, None), name=None)

Graphs G and H must be disjoint after the renaming takes place, otherwise an exception is raised.

Notes

To force a disjoint union with node relabeling, use disjoint_union(G,H) or convert_node_labels_to integers().

Graph, edge, and node attributes are propagated from G and H to the union graph. If a graph attribute is present in both G and H the value from H is used.

Parameters

G,H : graph

A NetworkX graph

rename : tuple , default=(None, None)

Node names of G and H can be changed by specifying the tuple rename=('G-','H-') (for example). Node "u" in G is then renamed "G-u" and "v" in H is renamed "H-v".

name : string

Specify the name for the union graph

deprecated

This is deprecated and will be removed in version v3.0.

Returns

U : A union graph with the same type as G.

Return the union of graphs G and H.

See Also

disjoint_union

Examples

>>> G = nx.Graph([(0, 1), (0, 2), (1, 2)])
... H = nx.Graph([(0, 1), (0, 3), (1, 3), (1, 2)])
... U = nx.union(G, H, rename=("G", "H"))
... U.nodes NodeView(('G0', 'G1', 'G2', 'H0', 'H1', 'H3', 'H2'))
>>> U.edges
EdgeView([('G0', 'G1'), ('G0', 'G2'), ('G1', 'G2'), ('H0', 'H1'), ('H0', 'H3'), ('H1', 'H3'), ('H1', 'H2')])
See :

Back References

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

networkx.algorithms.operators.binary.union networkx.algorithms.operators.binary.full_join

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#17
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