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Note

This documents the development version of NetworkX. Documentation for the current release can be found here.

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networkx.generators.small.make_small_graph

make_small_graph(graph_description, create_using=None)

Return the small graph described by graph_description.

graph_description is a list of the form [ltype,name,n,xlist]

Here ltype is one of “adjacencylist” or “edgelist”, name is the name of the graph and n the number of nodes. This constructs a graph of n nodes with integer labels 0,..,n-1.

If ltype=”adjacencylist” then xlist is an adjacency list with exactly n entries, in with the j’th entry (which can be empty) specifies the nodes connected to vertex j. e.g. the “square” graph C_4 can be obtained by

>>> G = nx.make_small_graph(
...     ["adjacencylist", "C_4", 4, [[2, 4], [1, 3], [2, 4], [1, 3]]]
... )

or, since we do not need to add edges twice,

>>> G = nx.make_small_graph(["adjacencylist", "C_4", 4, [[2, 4], [3], [4], []]])

If ltype=”edgelist” then xlist is an edge list written as [[v1,w2],[v2,w2],…,[vk,wk]], where vj and wj integers in the range 1,..,n e.g. the “square” graph C_4 can be obtained by

>>> G = nx.make_small_graph(
...     ["edgelist", "C_4", 4, [[1, 2], [3, 4], [2, 3], [4, 1]]]
... )

Use the create_using argument to choose the graph class/type.