itertools模块中的配方提供了两种方法来实现这一点，具体取决于您希望如何处理最终的奇数大小的批次（保留它、用填充值填充它、忽略它或引发异常）：

from itertools import islice, izip_longest

def batched(iterable, n):
    "Batch data into lists of length n. The last batch may be shorter."
    # batched('ABCDEFG', 3) --> ABC DEF G
    it = iter(iterable)
    while True:
        batch = list(islice(it, n))
        if not batch:
            return
        yield batch

def grouper(iterable, n, *, incomplete='fill', fillvalue=None):
    "Collect data into non-overlapping fixed-length chunks or blocks"
    # grouper('ABCDEFG', 3, fillvalue='x') --> ABC DEF Gxx
    # grouper('ABCDEFG', 3, incomplete='strict') --> ABC DEF ValueError
    # grouper('ABCDEFG', 3, incomplete='ignore') --> ABC DEF
    args = [iter(iterable)] * n
    if incomplete == 'fill':
        return zip_longest(*args, fillvalue=fillvalue)
    if incomplete == 'strict':
        return zip(*args, strict=True)
    if incomplete == 'ignore':
        return zip(*args)
    else:
        raise ValueError('Expected fill, strict, or ignore')

由于我必须这样做，下面是我的解决方案，给出了一个生成器和一个批量大小：

def pop_n_elems_from_generator(g, n):
    elems = []
    try:
        for idx in xrange(0, n):
            elems.append(g.next())
        return elems
    except StopIteration:
        return elems

这项任务可以在公认答案中使用生成器轻松完成。我正在添加实现长度方法的类实现，这可能对某些人有用。我需要知道进度（使用tqdm），所以生成器应该返回块的数量。

class ChunksIterator(object):
    def __init__(self, data, n):
        self._data = data
        self._l = len(data)
        self._n = n

    def __iter__(self):
        for i in range(0, self._l, self._n):
            yield self._data[i:i + self._n]

    def __len__(self):
        rem = 1 if self._l % self._n != 0 else 0
        return self._l // self._n + rem

用法：

it = ChunksIterator([1,2,3,4,5,6,7,8,9], 2)
print(len(it))
for i in it:
  print(i)

呵呵，单行版本

In [48]: chunk = lambda ulist, step:  map(lambda i: ulist[i:i+step],  xrange(0, len(ulist), step))

In [49]: chunk(range(1,100), 10)
Out[49]: 
[[1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
 [11, 12, 13, 14, 15, 16, 17, 18, 19, 20],
 [21, 22, 23, 24, 25, 26, 27, 28, 29, 30],
 [31, 32, 33, 34, 35, 36, 37, 38, 39, 40],
 [41, 42, 43, 44, 45, 46, 47, 48, 49, 50],
 [51, 52, 53, 54, 55, 56, 57, 58, 59, 60],
 [61, 62, 63, 64, 65, 66, 67, 68, 69, 70],
 [71, 72, 73, 74, 75, 76, 77, 78, 79, 80],
 [81, 82, 83, 84, 85, 86, 87, 88, 89, 90],
 [91, 92, 93, 94, 95, 96, 97, 98, 99]]

简单而优雅

L = range(1, 1000)
print [L[x:x+10] for x in xrange(0, len(L), 10)]

或者如果您愿意：

def chunks(L, n): return [L[x: x+n] for x in xrange(0, len(L), n)]
chunks(L, 10)

senderle答案的一个线性版本：

from itertools import islice
from functools import partial

seq = [1,2,3,4,5,6,7]
size = 3
result = list(iter(partial(lambda it: tuple(islice(it, size)), iter(seq)), ()))
assert result == [(1, 2, 3), (4, 5, 6), (7,)]