#

Note

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

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Rgraph

An example showing how to use the JavaScript InfoVis Toolkit (JIT) JSON export

See the JIT documentation and examples at http://thejit.org

Out:

[
    {
        "id": "one",
        "name": "one",
        "data": {
            "type": "normal"
        },
        "adjacencies": [
            {
                "nodeTo": "two",
                "data": {}
            }
        ]
    },
    {
        "id": "two",
        "name": "two",
        "data": {
            "type": "special"
        },
        "adjacencies": [
            {
                "nodeTo": "one",
                "data": {}
            },
            {
                "nodeTo": 3,
                "data": {
                    "type": "extra special"
                }
            }
        ]
    },
    {
        "id": "solo",
        "name": "solo",
        "data": {}
    },
    {
        "id": 3,
        "name": 3,
        "data": {},
        "adjacencies": [
            {
                "nodeTo": "two",
                "data": {
                    "type": "extra special"
                }
            }
        ]
    }
]
Nodes: [('one', {'type': 'normal'}), ('two', {'type': 'special'}), (3, {}), ('solo', {})]
Edges: [('one', 'two', {}), ('two', 3, {'type': 'extra special'})]

import json

import matplotlib.pyplot as plt
import networkx as nx
from networkx.readwrite.json_graph import jit_data, jit_graph

# add some nodes to a graph
G = nx.Graph()

G.add_node("one", type="normal")
G.add_node("two", type="special")
G.add_node("solo")

# add edges
G.add_edge("one", "two")
G.add_edge("two", 3, type="extra special")

# convert to JIT JSON
jit_json = jit_data(G, indent=4)
print(jit_json)

X = jit_graph(json.loads(jit_json))
print(f"Nodes: {list(X.nodes(data=True))}")
print(f"Edges: {list(X.edges(data=True))}")

nx.draw(G, with_labels=True)
plt.show()