node_link_graph(data, directed=False, multigraph=True, attrs=None)
Attribute 'key' is only used for multigraphs.
node-link formatted graph data
If True, and direction not specified in data, return a directed graph.
If True, and multigraph not specified in data, return a multigraph.
A dictionary that contains five keys 'source', 'target', 'name', 'key' and 'link'. The corresponding values provide the attribute names for storing NetworkX-internal graph data. Default value:
dict(source='source', target='target', name='id',
key='key', link='links')
A NetworkX graph object
Returns graph from node-link data format.
>>> from networkx.readwrite import json_graphSee :
... G = nx.Graph([("A", "B")])
... data = json_graph.node_link_data(G)
... H = json_graph.node_link_graph(data)
The following pages refer to to this document either explicitly or contain code examples using this.
networkx.readwrite.json_graph.node_link.node_link_graph
networkx.readwrite.json_graph.node_link.node_link_data
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