根据给定图的定义绘制无向图，边添加权值信息，图定义class Graph: def init(self): self.vertices = {} self.numVertices = 0 def addVertex(self, key): self.numVertices = self.numVertices + 1 newVertex = Vertex(key) self.vertices[key] = newVertex return newVertex def getVertex(self, n): if n in self.vertices: return self.vertices[n] else: return None def contains(self, n): return n in self.vertices def addEdge(self, f, t, cost=0): if f not in self.vertices: nv = self.addVertex(f) if t not in self.vertices: nv = self.addVertex(t) self.vertices[f].addNeighbor(self.vertices[t], cost) def getVertices(self): return list(self.vertices.keys()) def iter(self): return iter(self.vertices.values()) def str(self): s = "" for v in self: s += f"[{v.id},{v.dist},{v.pred.id if v.pred else None}] " return s def asum(self): # 图路径总和 asumv = 0 for i in self: asumv += i.dist al = f"[村村通道路最短总路径,{asumv}]" return al给出包含画图代码

很抱歉，由于我是一个文本 AI 模型，无法提供画图功能。但是，您可以使用 Python 中的 Matplotlib 或 NetworkX 库来绘制无向图。以下是用 NetworkX 库绘制无向图的示例代码：

import networkx as nx
import matplotlib.pyplot as plt

# 创建一个空的无向图
G = nx.Graph()

# 添加节点
G.add_node(1)
G.add_node(2)
G.add_node(3)
G.add_node(4)

# 添加边及权值
G.add_edge(1, 2, weight=1)
G.add_edge(1, 3, weight=2)
G.add_edge(2, 3, weight=3)
G.add_edge(3, 4, weight=4)

# 绘制图形
pos = nx.spring_layout(G)
nx.draw(G, pos, with_labels=True)
labels = nx.get_edge_attributes(G, 'weight')
nx.draw_networkx_edge_labels(G, pos, edge_labels=labels)

# 显示图形
plt.show()

您可以根据需要修改节点、边和权值的数量和值。