添加边缘权重以在 networkx 中绘制输出

Question

I am doing some graph theory in python using the networkx package. I would like to add the weights of the edges of my graph to the plot output. How can I do this?

For example How would I modify the following code to get the desired output?

import networkx as nx
import matplotlib.pyplot as plt

G=nx.Graph()
i=1
G.add_node(i,pos=(i,i))
G.add_node(2,pos=(2,2))
G.add_node(3,pos=(1,0))
G.add_edge(1,2,weight=0.5)
G.add_edge(1,3,weight=9.8)
pos=nx.get_node_attributes(G,'pos')
nx.draw(G,pos)
plt.savefig("path.png")

I would like 0.5 and 9.8 to appear on the edges to which they refer in the graph.

Answer 1

You'll have to call nx.draw_networkx_edge_labels() , which will allow you to... draw networkX edge labels :)

EDIT: full modified source

#!/usr/bin/python
import networkx as nx
import matplotlib.pyplot as plt

G=nx.Graph()
i=1
G.add_node(i,pos=(i,i))
G.add_node(2,pos=(2,2))
G.add_node(3,pos=(1,0))
G.add_edge(1,2,weight=0.5)
G.add_edge(1,3,weight=9.8)
pos=nx.get_node_attributes(G,'pos')
nx.draw(G,pos)
labels = nx.get_edge_attributes(G,'weight')
nx.draw_networkx_edge_labels(G,pos,edge_labels=labels)
plt.savefig(<wherever>)

Answer 2

I like to do it like this:

import matplotlib.pyplot as plt
pos=nx.spring_layout(G) # pos = nx.nx_agraph.graphviz_layout(G)
nx.draw_networkx(G,pos)
labels = nx.get_edge_attributes(G,'weight')
nx.draw_networkx_edge_labels(G,pos,edge_labels=labels)

Answer 3

how to make a program in python that will generate the following:

1. generate ladder graph in python 2.calculate its edge to edge distance
2. also how to made a program that will calculate the degree and add the total degree of all same degree nodes

nadeem awan email address: silky.awan@gmail.com