networkx edge weights not mapping to arrow width properly?

Question

I'm trying to plot a graph using the following code:

import networkx as nx
import matplotlib.pyplot as plt


u = ['SAC', 'SAC', 'SAC', 'SAC', 'SAC', 'SAC', 'SAC', 'REDES SOCIAIS', 'REDES SOCIAIS', 
     'REDES SOCIAIS', 'PROCON', 'PROCON', 'PROCON', 'BACEN', 'BACEN', 'BACEN', 'BACEN',
     'OUVIDORIA', 'OUVIDORIA', 'OUVIDORIA', 'OUVIDORIA', 'OUVIDORIA', 'CHAT', 'CHAT', 
     'CHAT']
v = ['RECLAME AQUI', 'SAC', 'REDES SOCIAIS', 'PROCON', 'BACEN', 'OUVIDORIA', 'CHAT', 
     'RECLAME AQUI', 'SAC', 'REDES SOCIAIS', 'RECLAME AQUI', 'SAC', 'PROCON',
     'RECLAME AQUI', 'SAC', 'BACEN', 'OUVIDORIA', 'RECLAME AQUI', 'SAC', 
     'REDES SOCIAIS', 'BACEN', 'OUVIDORIA', 'RECLAME AQUI', 'SAC', 'REDES SOCIAIS']
w = [437, 207, 13, 1, 7, 13, 2, 70, 10, 12, 5, 
     1, 2, 23, 1, 4, 2, 16, 2, 2, 2, 4, 4, 1, 1]

G = nx.DiGraph()
for ui, vi, wi in zip(u, v, w):
    G.add_edges_from([(ui, vi)], weight=wi)
pos = nx.circular_layout(G)
edge_labels = dict([((u, v,), d['weight']) for u, v, d in G.edges(data=True)])
weights = [G[u][v]['weight'] for u, v in G.edges()]
weights = list(map(lambda x: (x - min(weights)) /
                   (max(weights) - min(weights)), weights))
weights = list(map(lambda x: (x * 4) + 1, weights))
i = 0
for u, v in G.edges():
    print(u, v, G[u][v]['weight'], weights[i])
    i += 1

fig = plt.figure(figsize=(25, 15))
plt.axis('off')
nx.draw_networkx_edge_labels(G, pos, edge_labels=edge_labels)
nx.draw_networkx_nodes(G, pos,
                       nodelist=G.nodes(),
                       node_color='r',
                       node_size=500)
nx.draw_networkx_edges(G, pos,
                       edgelist=G.edges(),
                       alpha=0.5, edge_color='#5cce40', width=weights)
nx.draw_networkx_labels(G, pos, font_size=16, font_color='white')

fig.set_facecolor("#262626")
plt.show()

It creates a dictionary of edges from a pandas data frame, but the important part start when I declare G = nx.DiGraph(). At this point I have all my weighted edges and I normalize them between [1, 5].

The print statement gives me this:

SAC RECLAME AQUI 437 5.0
SAC SAC 207 2.8899082568807337
SAC REDES SOCIAIS 13 1.110091743119266
SAC PROCON 1 1.0
SAC BACEN 7 1.0550458715596331
SAC OUVIDORIA 13 1.110091743119266
SAC CHAT 2 1.0091743119266054
REDES SOCIAIS RECLAME AQUI 70 1.6330275229357798
REDES SOCIAIS SAC 10 1.0825688073394495
REDES SOCIAIS REDES SOCIAIS 12 1.1009174311926606
PROCON RECLAME AQUI 5 1.036697247706422
PROCON SAC 1 1.0
PROCON PROCON 2 1.0091743119266054
BACEN RECLAME AQUI 23 1.2018348623853212
BACEN SAC 1 1.0
BACEN BACEN 4 1.0275229357798166
BACEN OUVIDORIA 2 1.0091743119266054
OUVIDORIA RECLAME AQUI 16 1.1376146788990826
OUVIDORIA SAC 2 1.0091743119266054
OUVIDORIA REDES SOCIAIS 2 1.0091743119266054
OUVIDORIA BACEN 2 1.0091743119266054
OUVIDORIA OUVIDORIA 4 1.0275229357798166
CHAT RECLAME AQUI 4 1.0275229357798166
CHAT SAC 1 1.0
CHAT REDES SOCIAIS 1 1.0

I.e,

SAC -> RECLAME AQUI has the possible highest weight of 5.0
The following high weighted edge (not self looped, which I didn't find how to draw) is REDES SOCIAIS -> RECLAME AQUI with 1.6330275229357798.

However, this is my plot:

As can be seen, the edge with the second highest width is SAC -> REDES SOCIAIS, while REDES SOCIAIS -> RECLAME AQUI, with an original weight of 70, is presented thinner than the the first. I can't understand why. The print shows that my mapping is correct. Am I passing the wrong arguments to some function?

networkx edge weights not mapping to arrow width properly?

1 Answers