node_link_data(G, attrs=None)

Notes

Graph, node, and link attributes are stored in this format. Note that attribute keys will be converted to strings in order to comply with JSON.

Attribute 'key' is only used for multigraphs.

Parameters

G : NetworkX graph

attrs : dict

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. The values should be unique. Default value:

dict(source='source', target='target', name='id',
     key='key', link='links')

If some user-defined graph data use these attribute names as data keys, they may be silently dropped.

Raises

NetworkXError

If values in attrs are not unique.

Returns

data : dict

A dictionary with node-link formatted data.

Returns data in node-link format that is suitable for JSON serialization and use in Javascript documents.

See Also

adjacency_data

node_link_graph

tree_data

Examples

>>> from networkx.readwrite import json_graph
... G = nx.Graph([("A", "B")])
... data1 = json_graph.node_link_data(G)
... H = nx.gn_graph(2)
... data2 = json_graph.node_link_data(
...     H, {"link": "edges", "source": "from", "target": "to"}
... )

To serialize with json

>>> import json
... s1 = json.dumps(data1)
... s2 = json.dumps(
...     data2, default={"link": "edges", "source": "from", "target": "to"}
... )

See :

Back References

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

networkx.readwrite.json_graph.node_link.node_link_data networkx.readwrite.json_graph.node_link.node_link_graph networkx.readwrite.json_graph.tree.tree_data networkx.readwrite.json_graph.adjacency.adjacency_data networkx.readwrite.json_graph.tree.tree_graph networkx.readwrite.json_graph.adjacency.adjacency_graph

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

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GitHub : /networkx/readwrite/json_graph/node_link.py#27
type: <class 'function'>
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