更好地创建一个生成器函数，像这样
>>> def unique_values(iterable):... seen = set()... for item in iterable:... if item not in seen:... seen.add(item)... yield item...
然后您可以创建一个唯一值的元组，像这样
>>> tuple(unique_values((1, 2, 3, 3, 4, 4, 5)))(1, 2, 3, 4, 5)
如果您确定将始终对数据进行排序，则可以避免创建数据集并仅跟踪先前的数据，就像这样
>>> def unique_values(iterable):... it = iter(iterable)... previous = next(it)... yield previous... for item in it:... if item != previous:... previous = item... yield item>>> tuple(unique_values((1, 2, 3, 3, 4, 4, 5)))(1, 2, 3, 4, 5)
您可以像这样编写一个带有类的迭代器对象
>>> class Unique:... def __init__(self, iterable):... self.__it = iter(iterable)... self.__seen = set()... ... def __iter__(self):... return self... ... def __next__(self):... while True:... next_item = next(self.__it)... if next_item not in self.__seen:... self.__seen.add(next_item)... return next_item... >>> for item in Unique((1, 2, 3, 3, 4, 4, 5)):... print(item)... 12345
您可以参考此答案，以及Python
3数据模型文档中的“迭代器类型”部分。
