Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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39 lines
751 B
39 lines
751 B
"""
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======
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Rgraph
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======
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An example showing how to use the JavaScript InfoVis Toolkit (JIT)
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JSON export
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See the JIT documentation and examples at http://thejit.org
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"""
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import json
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import matplotlib.pyplot as plt
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import networkx as nx
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from networkx.readwrite.json_graph import jit_data, jit_graph
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# add some nodes to a graph
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G = nx.Graph()
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G.add_node("one", type="normal")
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G.add_node("two", type="special")
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G.add_node("solo")
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# add edges
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G.add_edge("one", "two")
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G.add_edge("two", 3, type="extra special")
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# convert to JIT JSON
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jit_json = jit_data(G, indent=4)
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print(jit_json)
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X = jit_graph(json.loads(jit_json))
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print(f"Nodes: {list(X.nodes(data=True))}")
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print(f"Edges: {list(X.edges(data=True))}")
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nx.draw(G, with_labels=True)
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plt.show()
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