如何在Python中的函数之间共享值? [英] How to share values between functions in Python?

问题描述

我具有以下2个功能:

a = 20
b = 45

def function1():
    coin = np.random.randint(0, 100)
    a2= a+coin
    return  a2


def function2():
    b2= b+coin
    return  b2

但是，这里的问题如下:我想使用在 function 2中随机选择的' coin '值(由 function 1 确定).

However, my problem here is as follows: I want to use the randomly selected 'coin' value (determined in function 1) inside function 2.

这里的条件是必须始终在函数1中进行随机选择.最有效的方法是将此 coin 值传递给 function 2 ，而不必在 function 2 中调用 function 1 ?

The condition here is that the random selection must always be done in function 1. What is the most efficient way to pass this coin value to function 2 without having to call function 1 inside function 2?

注意:功能1 应该只返回一个变量，即 a2 .

NOTE: function 1 should only return one variable which is a2.

推荐答案

编辑后

虽然可以使用全局变量，但我建议使用一个类:

After Edit

While you can use a global variable, I would recommend using a class:

class Functions:

    def __init__(self, a, b):
        self.a = a
        self.b = b
        self.coin = 0

    def function1(self):
        self.coin = np.random.randint(0, 100)
        a2 = self.a + self.coin
        return a2

    def function2(self):
        b2 = self.b + self.coin
        return b2

f = Functions(a=20, b=45)
f.function1()
f.function2()

两个功能紧密结合.因此，一堂课似乎更适合举行.理想情况下，功能应该是独立的.另一方面，一类的方法应该相互依赖.

Both functions are tightly coupled. Therefore, a class seems more appropriate to hold them. Ideally, functions should be independent. On the other hand, methods of a class are expected to depend on each other.

我建议对函数使用参数.这使它们独立:

I recommend using arguments for your functions. This makes them independent:

def function1(a):
    coin = np.random.randint(0, 100)
    a2 = a+coin
    return a2, coin

def function2(coin):
    b2 = b+coin
    return  b2

a = 20
b = 45

a2, coin = function1(a)
print(function2(coin))

此行:

return a2, coin

返回两个结果".实际上，它构建了一个中间元组.这行:

"returns two results". Actually, it builds an intermediate tuple. And this line:

a2, coin = function1(a)

再次将此元组解压缩为变量.

unpacks this tuple into to variables again.

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