本文实例讲述了Python根据已知邻接矩阵绘制无向图操作。分享给大家供大家参考,具体如下:

有六个点:[0,1,2,3,4,5,6],六个点之间的邻接矩阵如表格所示,根据邻接矩阵绘制出相对应的图

0

1

2

3

4

5

6

0

0

1

0

1

0

1

0

1

1

0

1

1

1

1

1

2

0

1

0

1

0

1

0

3

1

1

1

0

1

1

1

4

0

1

0

1

1

1

1

5

1

1

1

1

1

0

0

6

0

1

0

1

1

0

0

将点之间的联系构造成如下矩阵

N = [[0, 3, 5, 1],

[1, 5, 4, 3],

[2, 1, 3, 5],

[3, 5, 1, 4],

[4, 5, 1, 3],

[5, 3, 4, 1],

[6, 3, 1, 4]]

代码如下

# -*- coding:utf-8 -*-
#! python3
import networkx as nx
import matplotlib.pyplot as plt
G=nx.Graph()
point=[0,1,2,3,4,5,6]
G.add_nodes_from(point)
edglist=[]
N = [[0, 3, 5, 1],[1, 5, 4, 3],[2, 1, 3, 5],[3, 5, 1, 4],[4, 5, 1, 3],[5, 3, 4, 1],[6, 3, 1, 4]]
for i in range(7):
for j in range(1,4):
edglist.append((N[i][0],N[i][j]))
G=nx.Graph(edglist)
position = nx.circular_layout(G)
nx.draw_networkx_nodes(G,position, nodelist=point, node_color="r")
nx.draw_networkx_edges(G,position)
nx.draw_networkx_labels(G,position)

plt.show()

显示结果: