Python lambda表达式学习总结

sxxbxh 2020-11-12 16:16:30
Python


lambda表达式是⼀⾏函数,它们在其他语⾔中也被看做是没有具体名称的匿名函数。lambda表达式非常有用,它可以让代码更加简洁。如果你不想在程序中对⼀个函数使⽤两次,或许你会想⽤lambda表达式,它们和普通的函数完全⼀样。下面我们一起来看看lambda表达式的原型、代码案例、列表排序、列表并⾏排序以及lambda表达式的优劣吧!

1、原型:

lambda语句中,冒号前是参数,可以有多个,用逗号隔开,冒号右边的返回值。lambda语句构建的其实是一个函数对象。如果没有参数,则lambda冒号前面就没有。

lambda 参数:操作(参数)

2、代码案例:

add = lambda x, y: x + y

print(add(3, 5))

# Output: 8

3、列表排序

a = [(1, 2), (4, 1), (9, 10), (13, -3)]

a.sort(key=lambda x: x[1])

print(a)

# Output: [(13, -3), (4, 1), (1, 2), (9, 10)]

4、列表并⾏排序

data = zip(list1, list2)

data.sort()

list1, list2 = map(lambda t: list(t), zip(*data))

5、lambda表达式的优劣

Python中函数比 lambda 表达式具有更强的功能和适应性,因此lambda表达式创建的只是简单的函数对象。但是另一方面,lambda表达式的优势也是很明显的。比如,对于单行代码函数,使用 lambda 表达式可省去定义函数的复杂过程,让代码更加简洁。而对于无需多次使用的函数,由于lambda 表达式在用完之后立即释放的特点,提升了程序的性能。

关于Python中的lambda表达式学习总结就讲到这里了,总的来讲,lambda表达式有着极其重要的作用,但是我们也要注意不要滥用和过度使用lambda表达式。

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