13.函数式编程:匿名函数高阶函数装饰器
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# def add(x,y): # return x + y # print(add(1,2)) # 3 # 匿名函数 # lambda表达式 # f = lambda x,y:x + y # print(f(1,2)) # # 三元表达式 # x = 2 # y = 1 # r = x if x > y else y # print(r) # 2
# map
# list_x = [1,2,3,4,5,6,7,8] # def square(x): # return x * x # 方法1 # for x in list_x: # square(x) # 方法2 # r = map(square,list_x) # print(r) # <map object at 0x029F31F0> # print(list(r)) # [1, 4, 9, 16, 25, 36, 49, 64] # r = map(lambda x:x*x,list_x) # print(list(r)) # [1, 4, 9, 16, 25, 36, 49, 64] # list_x = [1,2,3,4,5,6,7,8] # list_y = [1,2,3,4,5,6,7,8] # r = map(lambda x,y:x*x + y,list_x,list_y) # print(list(r)) # [2, 6, 12, 20, 30, 42, 56, 72] list_x = [1,2,3,4,5,6,7,8] list_y = [1,2,3,4,5,6] r = map(lambda x,y:x*x + y,list_x,list_y) print(list(r)) # [2, 6, 12, 20, 30, 42]
#reduce
from functools import reduce # 连续计算,连续调用lamdba list_x = [1,2,3,4,5,6,7,8] # r = reduce(lambda x,y:x+y,list_x) # print(r) # 36 # ((((((1+2)+3)+4)+5)+6)+7)+8 # x=1 # y=2 # x=(1+2) # y=3 # x=((1+2)+3) # y=4 # x=(((1+2)+3)+4) # y=5 # .... # [(1,3),(2,-2),(-2,3),...] # r = reduce(lambda x,y:x+y,list_x,10) # print(r) # 46 # x=1 # y=10 # x=(1+10) # y=2 # x=((1+10)+2) # y=3 # x=(((1+10)+2)+3) # y=4 # ....
# filter
list_x = [1,0,1,0,0,1] # r = filter(lambda x:True if x==1 else False,list_x) r = filter(lambda x:x,list_x) print(list(r)) # [1, 1, 1] list_u = [‘a‘,‘B‘,‘c‘,‘F‘,‘e‘]
# 装饰器
import time def f1(): print(‘this is a function_1‘) def f2(): print(‘this is a function_2‘) def print_current_time(func): print(time.time()) func() print_current_time(f1) # 1524300517.6711748 # this is a function_1 print_current_time(f2) # 1524300517.6711748 # this is a function_2
def decorator(func): def wrapper(): print(time.time()) func() return wrapper def f1(): print(‘this is a function_1‘) f = decorator(f1) f() # 1524301122.5020452 # this is a function_1
def decorator(func): def wrapper(): print(time.time()) func() return wrapper @decorator def f3(): print(‘this is a function_2‘) f3() # 1524301486.9940615 # this is a function_2
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