python數據結構之圖的實現,官方有一篇文章介紹,http://www.python.org/doc/essays/graphs.htmlhtml
下面簡要的介紹下:node
好比有這麼一張圖:python
A -> B A -> C B -> C B -> D C -> D D -> C E -> F F -> C
能夠用字典和列表來構建數據結構
graph = {'A': ['B', 'C'], 'B': ['C', 'D'], 'C': ['D'], 'D': ['C'], 'E': ['F'], 'F': ['C']}
找到一條路徑:app
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
找到全部路徑:spa
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
找到最短路徑:code
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