要跳出多个嵌套循环，而不需要重构为函数，可以使用带有内置StopIteration异常的“模拟goto语句”:

try:
    for outer in range(100):
        for inner in range(100):
            if break_early():
                raise StopIteration

except StopIteration: pass

请参阅使用goto语句打破嵌套循环的讨论。

如果您只需要在复杂的for循环巢中测试边缘情况，则可以抛出1/0来引发异常。我保证不会告诉任何人。当您希望快速测试深度嵌套的for循环的单个迭代，并且不想跟踪大量break语句或注释掉大量代码时，这种方法非常方便。

是的，您可以将它包装在函数中并使用return，但在某些上下文中，这可能会非常麻烦。

入门级程序员的例子:

for i in first_iter:
    for j in second_iter:
        for k in third_iter:
            print(i_want_to_run_this_once_and_stop_executing(i,j,k))
            1/0
        code_that_takes_a_long_time()
    expensive_code()

在执行大量数据预处理的大型jupyter笔记本脚本中，这尤其方便。

我最近遇到了这个问题，为了避免重复的return语句，因为它会隐藏逻辑错误，我研究了@yak的想法。这在嵌套的for循环中工作得很好，但不是很优雅。另一种方法是在下一次循环之前检查条件:

b = None
for a in range(10):
    if something(a, b): # should never = True if b is None
        break
    for b in range(20):
        pass

这可能并不适用于所有地方，但具有适应性，如果需要，它的优点是允许复制条件，而不是潜在的结果。

如果两个条件为真，则继续循环。

我认为这是一种更python化的方式:

dejaVu = True

while dejaVu:
    while True:
        ok = raw_input("Is this ok? (y/n)")
        if ok == "y" or ok == "Y" or ok == "n" or ok == "N":
            dejaVu = False
            break

以下是一个非常简短的版本: 创建名为break_out_nested.py的文件

import itertools
import sys

it = sys.modules[__name__] # this allows us to share variables with break_out_nested.py when we import it 


def bol(*args):
    condi = args[-1] # the condition function
    i = args[:-1] # all iterables 
    for p in itertools.product(*i): # itertools.product creates the nested loop
        if condi(): # if the condition is True, we return 
            return
        yield p # if not, we yield the result 

现在你只需要几行就可以打破嵌套的循环(数据来自Rafiq的例子)

from break_out_nested import it, bol # import what we have just created

# you need to create new variables as attributes of it,
# because break_out_nested has only access to these variables
it.i, it.j, it.k = 1, 1, 1
# the break condition
def cond(): return it.i % 3 == 0 and it.j % 3 == 0 and it.k % 3 == 0

# The condition will be checked in each loop 
for it.i, it.j, it.k in bol(range(1, 6, 1), range(1, 11, 2, ), range(1, 21, 4), cond):
    print(it.i, it.j, it.k)

更多的例子:

def cond(): return it.i + it.j + it.k == 777

it.i, it.j, it.k = 0, 0, 0
for it.i, it.j, it.k in bol(range(100), range(1000), range(10000), cond):
    print(it.i, it.j, it.k)




def cond(): return it.i + it.j + it.k >= 100000

it.i, it.j, it.k = 0, 0, 0
# you dont have to use it.i, it.j, it.k as the loop variables, you can
# use anything you want, but you have to update the variables somewhere
for i, j, k in bol(range(100), range(1000), range(10000), cond):
    it.i, it.j, it.k = i * 10, j * 100, k * 100
    print(it.i, it.j, it.k)

使用numpy.ndindex可以简单地将多个循环转换为单个、可破坏的循环

for i in range(n):
  for j in range(n):
    val = x[i, j]
    break # still inside the outer loop!

for i, j in np.ndindex(n, n):
  val = x[i, j]
  break # you left the only loop there was!

您确实需要索引到对象中，而不是显式地遍历值，但至少在简单的情况下，它似乎比大多数答案所建议的要简单大约2-20倍。