make_small_graph(graph_description, create_using=None)
make_small_graph is deprecated and will be removed in version 3.0. If "ltype" == "adjacencylist", convert the list to a dict and use :None:None:`from_dict_of_lists`. If "ltype" == "edgelist", use :None:None:`from_edgelist`.
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.
Return the small graph described by graph_description.
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