本文主要介绍Python中单词字符串的列表(list),找出列表中所有单词中前一个单词首字母和后一个单词尾字母相同,组成最长的单词链方法代码,并且每个单词不能多次使用。
例如:
words = ['giraffe', 'elephant', 'ant', 'tiger', 'racoon', 'cat', 'hedgehog', 'mouse']
最长的单词链列表:
['hedgehog', 'giraffe', 'elephant', 'tiger', 'racoon']
1、用递归方法查找
words = ['giraffe', 'elephant', 'ant', 'tiger', 'racoon', 'cat', 'hedgehog', 'mouse'] def get_results(_start, _current, _seen): if all(c in _seen for c in words if c[0] == _start[-1]): yield _current else: for i in words: if i[0] == _start[-1]: yield from get_results(i, _current+[i], _seen+[i]) new_d = [list(get_results(i, [i], []))[0] for i in words] final_d = max([i for i in new_d if len(i) == len(set(i))], key=len)
输出结果:
['hedgehog', 'giraffe', 'elephant', 'tiger', 'racoon']
2、使用networkx查找
import networkx as nx import matplotlib.pyplot as plt words = ['giraffe', 'elephant', 'ant', 'tiger', 'racoon', 'cat', 'hedgehog', 'mouse'] G = nx.DiGraph() G.add_nodes_from(words) for word1 in words: for word2 in words: if word1 != word2 and word1[-1] == word2[0]: G.add_edge(word1, word2) nx.draw_networkx(G) plt.show() print(nx.algorithms.dag.dag_longest_path(G))
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