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:
希望本文所述对大家Python程序设计有所帮助。