如何分离图形的图像？ 结果

如何解决如何分离图形的图像？ 结果

我需要绘制这些独立图形的边缘不相交的完整图形。我曾尝试在 matplotlib 中使用坐标，但没有奏效。这是代码：

import networkx as nx
import matplotlib.pyplot as plt


G=nx.Graph()
G.add_edge("1","2")
G.add_edge("2","3")
G.add_edge("3","4")
G.add_edge("1","3")
G.add_edge("1","4")
G.add_edge("2","4")

pos = {1: (0,0),2: (1,1),3: (0,4: (1,0)}
        
F=nx.Graph()
F.add_edge("5","6")
F.add_edge("6","7")
F.add_edge("7","8")
F.add_edge("5","7")
F.add_edge("5","8")
F.add_edge("6","8")

pos = {5: (10,10),6: (11,11),7: (10,8: (11,10)}

E=nx.Graph()
E.add_edge("9","10")
E.add_edge("10","11")
E.add_edge("9","11")

pos = nx.random_layout(E)

Y=nx.Graph()
Y.add_node("12")

pos = nx.random_layout(Y)

nx.draw(G,with_labels = True,node_color = 'white')
nx.draw(F,node_color = 'white')
nx.draw(E,node_color = 'white')
nx.draw(Y,node_color = 'white')

plt.savefig('labels.png')
plt.show()

结果

解决方法

您创建了 pos 变量并多次覆盖它而没有在任何时候使用它。只需创建多个不重叠的绘图区域：

import networkx as nx
import matplotlib.pyplot as plt

G = nx.Graph()
G.add_edge("1","2")
G.add_edge("2","3")
G.add_edge("3","4")
G.add_edge("1","3")
G.add_edge("1","4")
G.add_edge("2","4")

pos_G = {"1": (0,0),"2": (1,1),"3": (0,"4": (1,0)}

F = nx.Graph()
F.add_edge("5","6")
F.add_edge("6","7")
F.add_edge("7","8")
F.add_edge("5","7")
F.add_edge("5","8")
F.add_edge("6","8")

pos_F = {"5": (10,10),"6": (11,11),"7": (10,"8": (11,10)}

E = nx.Graph()
E.add_edge("9","10")
E.add_edge("10","11")
E.add_edge("9","11")

pos_E = nx.random_layout(E)
pos_E = {node: pos + 3 for node,pos in pos_E.items()}

Y = nx.Graph()
Y.add_node("12")

pos_Y = nx.random_layout(Y)
pos_Y = {node: pos + 5 for node,pos in pos_Y.items()}

nx.draw(G,pos_G,with_labels=True,node_color='white')
nx.draw(F,pos_F,node_color='white')
nx.draw(E,pos_E,node_color='white')
nx.draw(Y,pos_Y,node_color='white')

# plt.savefig('labels.png')
plt.show()

结果