from functools import reduce # 代码块1
name = '小明'
def foo():
name = 'foo小明'
def bar():
name = 'bar小明'
print(name) return bar()
func = foo() print(func) # 代码块2
name_1 = '小明'
def foo_1():
name_1 = 'foo小明'
print(name_1) def bar_1():
name_1 = 'bar小明'
print(name_1) # return bar_1()
foo_1()
bar_1() # 块3
name_3 = '小明'
def foo_3():
name_3 = 'foo小明'
print(name_3) def bar_3():
name_3 = 'bar小明'
print(name_3) def tt(): print(name) return tt return bar_3
foo_3()
foo_3()()
foo_3()()() # 匿名函数 lambda 函数形参:return后的
""" 匿名函数用法
a = lambda x: x+1
print(a)
//
a:变量
lambda: 匿名函数关键字
x: 函数形参
x+1: return后的逻辑
最后print(a) """
def calc(x): return x + 1
print(calc(10))
number = lambda x: x + 1
print(number(10)) # 改名 # def change_name(x): # return name + '_hh' #
#
# print(change_name(name))
change_name = lambda z: z + '好聪明'
print(change_name(name)) # 返回多个函数值
number_1 = lambda x, y: (x + 1, y + 2) print(number_1(9, 18)) # 高阶函数1.把函数的返回值当做参数, 2.返回值中包含函数
# 把函数的返回值当做参数
""" def foo(x):
print(x)
def ber(manage): # 高阶函数
print('My name is %s ' % manage)
# return manage
foo(ber('小明')) """
# 返回值中包含函数
""" def bar():
print('from bar')
def foo():
print('from foo') # 高阶函数
return bar
foo()()
print('-' * 20)
def hi():
print('Hi')
def hello():
print('hello world')
return hi()
hello() """
# 函数式编程
num_list = [1, 2, 3, 4, 5] # add_one = lambda x: x+1
def add_one(x): return x + 1
# less_one = lambda x: x-1
def less_one(x): return x - 1
# square_list = lambda x: x**2
def square(x): return x ** 2
def map_list(func, array):
new_list = [] for i in array:
func(i)
new_list.append(func(i)) return new_list """ new_add_list = map_list(func=add_one, array=num_list)
new_less_list = map_list(func=less_one, array=num_list)
print(new_add_list)
print(new_less_list)
new_square_list = map_list(func=lambda x: x**2, array=num_list)
print(new_square_list) """
# map内置函数
new_map_add = map(lambda x: x ** 2, num_list) print('内置函数map,', '处理方法x^2,', '处理结果:', list(new_map_add))
new_map_less = map(less_one, num_list) print('内置函数map,', '处理方法x-1,', '处理结果:', list(new_map_less))
msg = 'xiaoming' new_msg = list(map(lambda x: x.upper(),msg)) print(new_msg) # 函数式编程 # filter函数
people = ['1号', 'sb_2号', '3号', '4号', 'sb_5号', '6号_sb'] # lambda x: x.endswith('sb') # def sb_show(n): # return n.endswith('sb')
def good_p(func, array):
good_people = [] for p in array: if not func(p):
good_people.append(p) return good_people # new_people = good_p(lambda x: x.endswith('sb'), people) # print(new_people)
# 函数式编程 # filter函数
new_filter_people_1 = filter(lambda x: not x.endswith('sb'), people)
new_filter_people_2 = filter(lambda x: not x.startswith('sb'), people) print(list(new_filter_people_1)) print(list(new_filter_people_2)) print('-' * 50) # filter函数
num_list = [1, 2, 3, 4]
tools_1 = (lambda x, y: x * y) # def multi(x, y): # return x * y
def reduce_list(func, array, init=None): if init is None:
new = array.pop(0) else:
new = init for num in array:
new = func(new, num) return new # print(reduce_list(tools_1, num_list, 100))
# map 传入列表, 输出列表, 顺序不变 # filter 传入列表,遍历列表,输入列表 # reduce函数
reduce_new = reduce(tools_1, num_list, 100) print(reduce_new)
