Python/NetworkX: Add Weights to Edges by Frequency of Edge Occurance

Question

I have a MultiDiGraph created in networkx for which I am trying to add weights to the edges, after which I assign a new weight based on the frequency/count of t

Answer 1

Try this on for size.

Note: I added a duplicate of an existing edge, just to show the behavior when there are repeats in your multigraph.

from collections import Counter
c = Counter(g.edges())  # Contains frequencies of each directed edge.

for u, v, d in g.edges(data=True):
    d['weight'] = c[u, v]

print(list(g.edges(data=True)))
#[(340, 269, {'weight': 1}),
# (340, 340, {'weight': 1}),
# (269, 340, {'weight': 1}),
# (398, 279, {'weight': 1}),
# (69, 28, {'weight': 1}),
# (382, 27, {'weight': 1}),
# (27, 285, {'weight': 2}),
# (27, 285, {'weight': 2}),
# (120, 422, {'weight': 1}),
# (422, 217, {'weight': 1}),
# (217, 340, {'weight': 1}),
# (458, 442, {'weight': 1}),
# (291, 431, {'weight': 1}),
# (68, 27, {'weight': 1}),
# (112, 269, {'weight': 1})]

Edit: To visualize the graph with edge weights as thicknesses, use this:

nx.draw_networkx(g, width=[d['weight'] for _, _, d in g.edges(data=True)])