node_link_graph

node_link_graph(data, directed=False, multigraph=True, *, source='source', target='target', name='id', key='key', link='links')

Returns graph from node-link data format. Useful for de-serialization from JSON.

Parameters:

datadict

node-link formatted graph data

directedbool

If True, and direction not specified in data, return a directed graph.

multigraphbool

If True, and multigraph not specified in data, return a multigraph.

sourcestring

A string that provides the ‘source’ attribute name for storing NetworkX-internal graph data.

targetstring

A string that provides the ‘target’ attribute name for storing NetworkX-internal graph data.

namestring

A string that provides the ‘name’ attribute name for storing NetworkX-internal graph data.

keystring

A string that provides the ‘key’ attribute name for storing NetworkX-internal graph data.

linkstring

A string that provides the ‘link’ attribute name for storing NetworkX-internal graph data.

Returns:

GNetworkX graph

A NetworkX graph object

See also

node_link_data, adjacency_data, tree_data

Notes

Attribute ‘key’ is only used for multigraphs.

To use node_link_data in conjunction with node_link_graph, the keyword names for the attributes must match.

Examples

Create data in node-link format by converting a graph.

>>> G = nx.Graph([('A', 'B')])
>>> data = nx.node_link_data(G)
>>> data
{'directed': False, 'multigraph': False, 'graph': {}, 'nodes': [{'id': 'A'}, {'id': 'B'}], 'links': [{'source': 'A', 'target': 'B'}]}

Revert data in node-link format to a graph.

>>> H = nx.node_link_graph(data)
>>> print(H.edges)
[('A', 'B')]

To serialize and deserialize a graph with JSON,

>>> import json
>>> d = json.dumps(node_link_data(G))
>>> H = node_link_graph(json.loads(d))
>>> print(G.edges, H.edges)
[('A', 'B')] [('A', 'B')]