Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
26 lines
582 B
26 lines
582 B
4 years ago
|
"""
|
||
|
======
|
||
|
Atlas2
|
||
|
======
|
||
|
|
||
|
Write first 20 graphs from the graph atlas as graphviz dot files
|
||
|
Gn.dot where n=0,19.
|
||
|
"""
|
||
|
|
||
|
import networkx as nx
|
||
|
from networkx.generators.atlas import graph_atlas_g
|
||
|
|
||
|
atlas = graph_atlas_g()[0:20]
|
||
|
|
||
|
for G in atlas:
|
||
|
print(
|
||
|
f"{G.name} has {nx.number_of_nodes(G)} nodes with {nx.number_of_edges(G)} edges"
|
||
|
)
|
||
|
A = nx.nx_agraph.to_agraph(G)
|
||
|
A.graph_attr["label"] = G.name
|
||
|
# set default node attributes
|
||
|
A.node_attr["color"] = "red"
|
||
|
A.node_attr["style"] = "filled"
|
||
|
A.node_attr["shape"] = "circle"
|
||
|
A.write(G.name + ".dot")
|