python将邻接矩阵输出成图的实现

import networkx as nx
import matplotlib.pyplot as plt
import numpy as np
 
G = nx.Graph()
Matrix = np.array(
  [
    [0, 1, 1, 1, 1, 1, 0, 0], # a
    [0, 0, 1, 0, 1, 0, 0, 0], # b
    [0, 0, 0, 1, 0, 0, 0, 0], # c
    [0, 0, 0, 0, 1, 0, 0, 0], # d
    [0, 0, 0, 0, 0, 1, 0, 0], # e
    [0, 0, 1, 0, 0, 0, 1, 1], # f
    [0, 0, 0, 0, 0, 1, 0, 1], # g
    [0, 0, 0, 0, 0, 1, 1, 0] # h
  ]
)
for i in range(len(Matrix)):
  for j in range(len(Matrix)):
    G.add_edge(i, j)
 
nx.draw(G)
plt.show()

G = nx.DiGraph()
G.add_node(1)
G.add_node(2)
G.add_nodes_from([3, 4, 5, 6])
G.add_cycle([1, 2, 3, 4])
G.add_edge(1, 3)
G.add_edges_from([(3, 5), (3, 6), (6, 7)])
nx.draw(G)
# plt.savefig("youxiangtu.png")
plt.show()

G = nx.complete_graph(5)
nx.draw(G)
plt.savefig("8nodes.png")
plt.show()

G = nx.Graph()
G.add_node(1)
G.add_node(2)
G.add_nodes_from([3, 4, 5, 6])
G.add_cycle([1, 2, 3, 4])
G.add_edge(1, 3)
G.add_edges_from([(3, 5), (3, 6), (6, 7)])
nx.draw(G)
# plt.savefig("wuxiangtu.png")
plt.show()

G = nx.Graph()
G.add_edges_from([(1, 2), (1, 3), (1, 4), (1, 5), (4, 5), (4, 6), (5, 6)])
pos = nx.spring_layout(G)
 
colors = [1, 2, 3, 4, 5, 6]
nx.draw_networkx_nodes(G, pos, node_color=colors)
nx.draw_networkx_edges(G, pos)
 
plt.axis('off')
# plt.savefig("color_nodes.png")
plt.show()