python找到最短路径

在Python中，可以使用Dijkstra算法来找到最短路径。Dijkstra算法使用优先队列来寻找未知顶点中具有最小dist值的顶点。首先，需要实现一个Vertex类，并在该类中实现__lt__方法，以支持小于比较运算符。然后，可以使用递归的思想来实现找到最短路径的函数。下面是一个示例代码：

import heapq

class Vertex:
    def __init__(self, name):
        self.name = name
        self.dist = float('inf')
        self.prev = None

    def __lt__(self, other):
        return self.dist < other.dist

def find_shortest_path(start, end):
    pq = \[\]
    start.dist = 0
    heapq.heappush(pq, start)

    while pq:
        current = heapq.heappop(pq)

        if current == end:
            break

        for neighbor in current.neighbors:
            distance = current.dist + current.get_distance(neighbor)

            if distance < neighbor.dist:
                neighbor.dist = distance
                neighbor.prev = current
                heapq.heappush(pq, neighbor)

    path = \[\]
    current = end

    while current:
        path.append(current.name)
        current = current.prev

    path.reverse()
    return path

这段代码使用了优先队列来实现Dijkstra算法，通过不断更新顶点的dist值和prev指针来找到最短路径。你可以将起点和终点作为参数传递给`find_shortest_path`函数，它将返回一个包含最短路径顶点名称的列表。
#### 引用[.reference_title]
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