Python：迭代并比较2个元组元素列表

Question

我已经挣扎了几个小时而无法解决，所以请帮助我！ 我有2个包含一些元组的列表。

list_1 = [[('This', 'DT'), ('is', 'VBZ'), ('an', 'DT'), ('apple', 'NN')], [('This', 'DT'), ('Should', 'MD'), ('be', 'VB'), ('taught', 'VBN'), ('at','IN'), ('school', 'NN')], [('you', 'PRP'), ('might', 'MD'), ('take', 'VB'), ('them', 'PRP')]]

list_2 = [[('This', 'DT'), ('is', 'VBN'), ('an', 'DT'), ('apple', 'NNS')], [('This', 'DT'), ('Should', 'VB'), ('be', 'VB'), ('taught', 'VBN'), ('at','IN'), ('school', 'NNP')], [('you', 'PRP'), ('might', 'MD'), ('take', 'VB'), ('them', 'PRP')]]

我想比较list_1和list_2元素中每个句子的每个元组，并仅返回具有不同标签的元组。

 def get_similarity(): for list_1_sentence, list_2_sentence in zip(list_1, list_2): if len(list_1) != len(list_2): try: raise Exception('this is an exception, some tags are missing') except Exception as error: print('caught this error : ', repr(error)) else: return [(x, y) for x, y in zip(list_1_sentence, list_2_sentence) if x != y] get_similarity() 

问题是它返回不同的元组，但仅针对第一句：

[(('is', 'VBZ), ('is', 'VBN)), ('apple', 'NN'), ('apple', 'NNS'))]

为什么不遍历所有句子？

Answer 1

return过早退出循环

循环只运行一次，因为您在第一次迭代时return值。 相反，跟踪所有结果并在函数结束时返回，如下所示：

def get_similarity():
    results = []
    for list_1_sentence, list_2_sentence in zip(list_1, list_2):
        # ...
        results.append([(x, y) for x, y in zip(list_1_sentence, list_2_sentence) if x != y])
    return results

你应该看到这个有效。 在线试试吧！

Answer 2

您从循环的第一次迭代返回。 但是你可以通过屈服而不是返回来轻松地将它变成一个生成器：

def get_similarity():
    for list_1_sentence, list_2_sentence in zip(list_1, list_2):
        #...
        yield [(x, y) for x, y in zip(list_1_sentence, list_2_sentence) if x != y]

list(get_similarity())

Answer 3

你可以试试这个：

list_1 = [[('This', 'DT'), ('is', 'VBZ'), ('an', 'DT'), ('apple', 'NN')], [('This', 'DT'), ('Should', 'MD'), ('be', 'VB'), ('taught', 'VBN'), ('at','IN'), ('school', 'NN')], [('you', 'PRP'), ('might', 'MD'), ('take', 'VB'), ('them', 'PRP')]]

list_2 = [[('This', 'DT'), ('is', 'VBN'), ('an', 'DT'), ('apple', 'NNS')], [('This', 'DT'), ('Should', 'VB'), ('be', 'VB'), ('taught', 'VBN'), ('at','IN'), ('school', 'NNP')], [('you', 'PRP'), ('might', 'MD'), ('take', 'VB'), ('them', 'PRP')]]
final_tags = list(filter(lambda x:x, [[c for c, d in zip(a, b) if c[-1] != d[-1]] for a, b in zip(list_1, list_2)]))

输出：

[[('is', 'VBZ'), ('apple', 'NN')], [('Should', 'MD'), ('school', 'NN')]]