我有一个Python脚本,它把一个整数列表作为输入,我需要一次处理四个整数。不幸的是,我无法控制输入,否则我将它作为一个四元素元组列表传入。目前,我以这种方式迭代它:

for i in range(0, len(ints), 4):
    # dummy op for example code
    foo += ints[i] * ints[i + 1] + ints[i + 2] * ints[i + 3]

不过,它看起来很像“C-think”,这让我怀疑有一种更python的方式来处理这种情况。该列表在迭代后被丢弃,因此不需要保留。也许这样会更好?

while ints:
    foo += ints[0] * ints[1] + ints[2] * ints[3]
    ints[0:4] = []

不过,感觉还是不太对。: - /

相关问题:在Python中如何将列表分割成大小均匀的块?


当前回答

def chunker(seq, size):
    return (seq[pos:pos + size] for pos in range(0, len(seq), size))

适用于任何序列:

text = "I am a very, very helpful text"

for group in chunker(text, 7):
   print(repr(group),)
# 'I am a ' 'very, v' 'ery hel' 'pful te' 'xt'

print('|'.join(chunker(text, 10)))
# I am a ver|y, very he|lpful text

animals = ['cat', 'dog', 'rabbit', 'duck', 'bird', 'cow', 'gnu', 'fish']

for group in chunker(animals, 3):
    print(group)
# ['cat', 'dog', 'rabbit']
# ['duck', 'bird', 'cow']
# ['gnu', 'fish']

其他回答

from itertools import izip_longest

def chunker(iterable, chunksize, filler):
    return izip_longest(*[iter(iterable)]*chunksize, fillvalue=filler)

下面是我的go works on lists,iter和range…懒洋洋地:

def chunker(it,size):
    rv = [] 
    for i,el in enumerate(it,1) :   
        rv.append(el)
        if i % size == 0 : 
            yield rv
            rv = []
    if rv : yield rv        

几乎变成了一句俏皮话;(

In [95]: list(chunker(range(9),2) )                                                                                                                                          
Out[95]: [[0, 1], [2, 3], [4, 5], [6, 7], [8]]

In [96]: list(chunker([1,2,3,4,5],2) )                                                                                                                                       
Out[96]: [[1, 2], [3, 4], [5]]

In [97]: list(chunker(iter(range(9)),2) )                                                                                                                                    
Out[97]: [[0, 1], [2, 3], [4, 5], [6, 7], [8]]

In [98]: list(chunker(range(9),25) )                                                                                                                                         
Out[98]: [[0, 1, 2, 3, 4, 5, 6, 7, 8]]

In [99]: list(chunker(range(9),1) )                                                                                                                                          
Out[99]: [[0], [1], [2], [3], [4], [5], [6], [7], [8]]

In [101]: %timeit list(chunker(range(101),2) )                                                                                                                               
11.3 µs ± 68.2 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)

在我的特殊情况下,我需要填充项目,以重复最后一个元素,直到它达到大小,所以我改变了这个答案,以适应我的需要。

大小为4的输入输出示例:

Input = [1,2,3,4,5,6,7,8]
Output= [[1,2,3,4], [5,6,7,8]]

Input = [[1,2,3,4,5,6,7]]
Output= [[1,2,3,4], [5,6,7,7]]

Input = [1,2,3,4,5]
Output= [[1,2,3,4], [5,5,5,5]]
def chunker(seq, size):
    res = []
    for el in seq:
        res.append(el)
        if len(res) == size:
            yield res
            res = []
    if res:
        res = res + (size - len(res)) * [res[-1]] 
        yield res

下面是一个支持生成器的无导入chunker:

def chunks(seq, size):
    it = iter(seq)
    while True:
        ret = tuple(next(it) for _ in range(size))
        if len(ret) == size:
            yield ret
        else:
            raise StopIteration()

使用示例:

>>> def foo():
...     i = 0
...     while True:
...         i += 1
...         yield i
...
>>> c = chunks(foo(), 3)
>>> c.next()
(1, 2, 3)
>>> c.next()
(4, 5, 6)
>>> list(chunks('abcdefg', 2))
[('a', 'b'), ('c', 'd'), ('e', 'f')]

为什么不使用列表理解

l = [1 , 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]
n = 4
filler = 0
fills = len(l) % n
chunks = ((l + [filler] * fills)[x * n:x * n + n] for x in range(int((len(l) + n - 1)/n)))
print(chunks)

[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 0]]