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One, the function of the document:

Zip ():

zip( *iterables)

Make a 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. Equivalent to:

def zip (*iterables):    # Zip (' ABCD ', ' xy ')--Ax by    Sentinel = Object ()    iterators = [iter (it) to it in ITER Ables] While    iterators:        result = [] for        it in iterators:            elem = Next (it, Sentinel)            if Elem is Sentin El:                return            result.append (elem)        yield tuple (result)

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 times so, each output tuple have the result of calls to the n n Iterato R. This have the effect of dividing the input into n-length chunks.

zip()Should only is used with unequal length inputs if you don ' t care about trailing, unmatched values from the longer iterab Les. If Those values is important, use itertools.zip_longest() instead.

zip()In conjunction with the * operator can is used to unzip a list:

>>>

>>> x = [1, 2, 3]>>> y = [4, 5, 6]>>> zipped = Zip (x, y) >>> list (zipped) [(1, 4), (2, 5 ), (3, 6)]>>> x2, y2 = Zip (*zip (x, y)) >>> x = = List (x2) and y = = List (y2) True

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