最短路算法python

最短路算法在Python中有多种实现方式，其中一种是Dijkstra算法。以下是一个用Python实现的Dijkstra算法的示例代码:

def dijkstra(graph, start):
    INF = float('inf')
    dist = [INF * len(graph)     # 源点到其他顶点的距离
    visited = [False * len(graph)  # 是否已经纳入顶点集合
    path = [start * len(graph)    # 路径
    count = [0 * len(graph)       # 统计最短路径数量
    dist[start = 0
    count[start = 1

    while True:
        u = -1
        min_dist = INF
        for i in range(len(graph)):
            if not visited[i and dist[i < min_dist:
                u = i
                min_dist = dist[i]
        
        if u == -1:
            return dist
        visited[u = True

        for v in range(len(graph)):
            if not visited[v and graph[u][v != INF:
                if dist[u + graph[u][v < dist[v]:
                    dist[v = dist[u + graph[u][v]
                    path[v = u
                    count[v = count[u]
                elif dist[u + graph[u][v == dist[v and count[u > count[v]:
                    count[v = count[u]
                    path[v = u

这段代码实现了Dijkstra算法，通过传入一个图(graph)和起始顶点(start)，计算出从起始顶点到其他顶点的最短路径(dist)，并返回该最短路径数组。

请注意，这只是Dijkstra算法的一种实现方式，还有其他算法，如Floyd算法等。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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