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Python内置函数(67)――zip

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zip ( *iterables )

Make an iterator that aggregates elements from each of the iterables.

Returns an iterator of tuples, where the i -th tuple contains the i -th element from each of the argument sequences or iterables. The iterator stops when the shortest input iterable is exhausted. With a single iterable argument, it returns an iterator of 1-tuples. With no arguments, it returns an empty iterator.

The left-to-right evaluation order of the iterables is guaranteed. This makes possible an idiom for clustering a data series into n-length groups using zip(*[iter(s)]*n) . This repeats the same iterator n times so that each output tuple has the result of n calls to the iterator. This has the effect of dividing the input into n-length chunks. 说明:

1. 函数功能是聚合传入的每个迭代器中相同位置的元素,返回一个新的元组类型迭代器。

>>> x = [1,2,3] >>> y = [4,5,6] >>> xy = zip(x,y) >>> xy #xy的类型是zip类型 <zip object at 0x0429C828> #导入Iterable >>> from collections import Iterable >>> isinstance(xy,Iterable) #判断是否可迭代对象 True >>> list(xy) #结果 [(1, 4), (2, 5), (3, 6)]

2. 如果传入的迭代器长度不一致,最短长度的迭代器迭代结束后停止聚合。

>>> x = [1,2,3] #长度3 >>> y = [4,5,6,7,8] #长度5 >>> list(zip(x,y)) # 取最小长度3 [(1, 4), (2, 5), (3, 6)]

3. 如果只传入一个迭代器,则返回的单个元素元组的迭代器。

>>> list(zip([1,2,3])) [(1,), (2,), (3,)]

4. 如果不传入参数,则返回空的迭代器。

>>> list(zip()) [] 5.zip(*[iter(s)]*n)等效于调用zip(iter(s),iter(s),...,iter(s))。 >>> x = [1,2,3] >>> list(zip(*[x]*3)) [(1, 1, 1), (2, 2, 2), (3, 3, 3)] >>> list(zip(x,x,x)) [(1, 1, 1), (2, 2, 2), (3, 3, 3)]

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