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

这个答案拆分了一个字符串列表,f.ex。达到符合pep8线长的要求:

def split(what, target_length=79):
    '''splits list of strings into sublists, each 
    having string length at most 79'''
    out = [[]]
    while what:
        if len("', '".join(out[-1])) + len(what[0]) < target_length:
            out[-1].append(what.pop(0))
        else:
            if not out[-1]: # string longer than target_length
                out[-1] = [what.pop(0)]
            out.append([])
    return out

使用

>>> split(['deferred_income', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'loan_advances', 'from_messages', 'other', 'director_fees', 'bonus', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock', 'salary', 'total_payments', 'exercised_stock_options'], 75)
[['deferred_income', 'long_term_incentive', 'restricted_stock_deferred'], ['shared_receipt_with_poi', 'loan_advances', 'from_messages', 'other'], ['director_fees', 'bonus', 'total_stock_value', 'from_poi_to_this_person'], ['from_this_person_to_poi', 'restricted_stock', 'salary', 'total_payments'], ['exercised_stock_options']]

其他回答

制作itertools很容易。Groupby工作为您获得一个iterables的iterable,而不创建任何临时列表:

groupby(iterable, (lambda x,y: (lambda z: x.next()/y))(count(),100))

不要被嵌套lambda吓跑,外部lambda只运行一次,将count()生成器和常数100放入内部lambda的作用域。

我用它来发送行块到mysql。

for k,v in groupby(bigdata, (lambda x,y: (lambda z: x.next()/y))(count(),100))):
    cursor.executemany(sql, v)

more-itertools包有一个分块方法,它可以做到这一点:

import more_itertools
for s in more_itertools.chunked(range(9), 4):
    print(s)

打印

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

Chunked返回列表中的项。如果你更喜欢迭代对象,可以使用ichunked。

这个答案拆分了一个字符串列表,f.ex。达到符合pep8线长的要求:

def split(what, target_length=79):
    '''splits list of strings into sublists, each 
    having string length at most 79'''
    out = [[]]
    while what:
        if len("', '".join(out[-1])) + len(what[0]) < target_length:
            out[-1].append(what.pop(0))
        else:
            if not out[-1]: # string longer than target_length
                out[-1] = [what.pop(0)]
            out.append([])
    return out

使用

>>> split(['deferred_income', 'long_term_incentive', 'restricted_stock_deferred', 'shared_receipt_with_poi', 'loan_advances', 'from_messages', 'other', 'director_fees', 'bonus', 'total_stock_value', 'from_poi_to_this_person', 'from_this_person_to_poi', 'restricted_stock', 'salary', 'total_payments', 'exercised_stock_options'], 75)
[['deferred_income', 'long_term_incentive', 'restricted_stock_deferred'], ['shared_receipt_with_poi', 'loan_advances', 'from_messages', 'other'], ['director_fees', 'bonus', 'total_stock_value', 'from_poi_to_this_person'], ['from_this_person_to_poi', 'restricted_stock', 'salary', 'total_payments'], ['exercised_stock_options']]
import itertools
def chunks(iterable,size):
    it = iter(iterable)
    chunk = tuple(itertools.islice(it,size))
    while chunk:
        yield chunk
        chunk = tuple(itertools.islice(it,size))

# though this will throw ValueError if the length of ints
# isn't a multiple of four:
for x1,x2,x3,x4 in chunks(ints,4):
    foo += x1 + x2 + x3 + x4

for chunk in chunks(ints,4):
    foo += sum(chunk)

另一种方法:

import itertools
def chunks2(iterable,size,filler=None):
    it = itertools.chain(iterable,itertools.repeat(filler,size-1))
    chunk = tuple(itertools.islice(it,size))
    while len(chunk) == size:
        yield chunk
        chunk = tuple(itertools.islice(it,size))

# x2, x3 and x4 could get the value 0 if the length is not
# a multiple of 4.
for x1,x2,x3,x4 in chunks2(ints,4,0):
    foo += x1 + x2 + x3 + x4
chunk_size = 4
for i in range(0, len(ints), chunk_size):
    chunk = ints[i:i+chunk_size]
    # process chunk of size <= chunk_size