Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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40 lines
1.0 KiB
40 lines
1.0 KiB
"""
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==========
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Javascript
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==========
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Example of writing JSON format graph data and using the D3 Javascript library
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to produce an HTML/Javascript drawing.
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You will need to download the following directory:
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- https://github.com/networkx/networkx/tree/master/examples/javascript/force
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"""
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import json
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import flask
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import networkx as nx
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from networkx.readwrite import json_graph
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G = nx.barbell_graph(6, 3)
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# this d3 example uses the name attribute for the mouse-hover value,
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# so add a name to each node
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for n in G:
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G.nodes[n]["name"] = n
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# write json formatted data
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d = json_graph.node_link_data(G) # node-link format to serialize
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# write json
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json.dump(d, open("force/force.json", "w"))
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print("Wrote node-link JSON data to force/force.json")
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# Serve the file over http to allow for cross origin requests
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app = flask.Flask(__name__, static_folder="force")
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@app.route("/")
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def static_proxy():
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return app.send_static_file("force.html")
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print("\nGo to http://localhost:8000 to see the example\n")
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app.run(port=8000)
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