python数据结构之图的实现方法

(编辑：jimmy 日期: 2025/1/16 浏览：3 次 )

本文实例讲述了python数据结构之图的实现方法。分享给大家供大家参考。具体如下：

下面简要的介绍下：

比如有这么一张图：

    A -> B
    A -> C
    B -> C
    B -> D
    C -> D
    D -> C
    E -> F
    F -> C

可以用字典和列表来构建

graph = {'A': ['B', 'C'],
       'B': ['C', 'D'],
       'C': ['D'],
       'D': ['C'],
       'E': ['F'],
       'F': ['C']}

找到一条路径：

def find_path(graph, start, end, path=[]):
    path = path + [start]
    if start == end:
      return path
    if not graph.has_key(start):
      return None
    for node in graph[start]:
      if node not in path:
        newpath = find_path(graph, node, end, path)
        if newpath: return newpath
    return None

找到所有路径：

def find_all_paths(graph, start, end, path=[]):
    path = path + [start]
    if start == end:
      return [path]
    if not graph.has_key(start):
      return []
    paths = []
    for node in graph[start]:
      if node not in path:
        newpaths = find_all_paths(graph, node, end, path)
        for newpath in newpaths:
          paths.append(newpath)
    return paths

找到最短路径：

def find_shortest_path(graph, start, end, path=[]):
    path = path + [start]
    if start == end:
      return path
    if not graph.has_key(start):
      return None
    shortest = None
    for node in graph[start]:
      if node not in path:
        newpath = find_shortest_path(graph, node, end, path)
        if newpath:
          if not shortest or len(newpath) < len(shortest):
            shortest = newpath
    return shortest

希望本文所述对大家的Python程序设计有所帮助。

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