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Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍 https://github.com/madlabunimib/PyCTBN
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PyCTBN/venv/share/doc/networkx-2.5/examples/javascript/force.py

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