我解决这个问题的方法是定义一个变量，该变量被引用来确定你是否进入下一关。在这个例子中，这个变量叫做shouldbreak。

Variable_That_Counts_To_Three=1
while 1==1:
    shouldbreak='no'
    Variable_That_Counts_To_Five=0
    while 2==2:
        Variable_That_Counts_To_Five+=1
        print(Variable_That_Counts_To_Five)
        if Variable_That_Counts_To_Five == 5:
            if Variable_That_Counts_To_Three == 3:
                shouldbreak='yes'
            break
    print('Three Counter = ' + str(Variable_That_Counts_To_Three))
    Variable_That_Counts_To_Three+=1
    if shouldbreak == 'yes':
        break

print('''
This breaks out of two loops!''')

这为您希望程序中断的确切方式提供了大量控制，允许您选择何时中断以及下降多少层。

这不是最漂亮的方法，但在我看来，这是最好的方法。

def loop():
    while True:
    #snip: print out current state
        while True:
            ok = get_input("Is this ok? (y/n)")
            if ok == "y" or ok == "Y": return
            if ok == "n" or ok == "N": break
        #do more processing with menus and stuff

我很确定你也可以用递归解出一些东西，但我不知道这对你来说是不是一个好选择。

我解决这个问题的方法是定义一个变量，该变量被引用来确定你是否进入下一关。在这个例子中，这个变量叫做shouldbreak。

Variable_That_Counts_To_Three=1
while 1==1:
    shouldbreak='no'
    Variable_That_Counts_To_Five=0
    while 2==2:
        Variable_That_Counts_To_Five+=1
        print(Variable_That_Counts_To_Five)
        if Variable_That_Counts_To_Five == 5:
            if Variable_That_Counts_To_Three == 3:
                shouldbreak='yes'
            break
    print('Three Counter = ' + str(Variable_That_Counts_To_Three))
    Variable_That_Counts_To_Three+=1
    if shouldbreak == 'yes':
        break

print('''
This breaks out of two loops!''')

这为您希望程序中断的确切方式提供了大量控制，允许您选择何时中断以及下降多少层。

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)

希望这能有所帮助:

x = True
y = True
while x == True:
    while y == True:
         ok = get_input("Is this ok? (y/n)") 
         if ok == "y" or ok == "Y":
             x,y = False,False #breaks from both loops
         if ok == "n" or ok == "N": 
             break #breaks from just one

从语言层面上没有办法做到这一点。有些语言 一个goto其他人有一个需要争论的休息，python没有。 最好的选择是: 设置一个由外部循环检查的标志，或设置外部循环 循环条件。 将循环放入函数中，并使用return立即跳出所有循环。 重新规划你的逻辑。

这要归功于Vivek Nagarajan，他从1987年开始成为程序员

使用函数

def doMywork(data):
    for i in data:
       for e in i:
         return 

使用国旗

is_break = False
for i in data:
   if is_break:
      break # outer loop break
   for e in i:
      is_break = True
      break # inner loop break