1、map函数 映射函数
引用：
1 # -*- coding:utf-8 -*- 2 3 num_1=[1,2,3,4,5,6,7,8] 4 5 def map_test(array): #数值的平方运算 6 res=[] 7 for i in array: 8 res.append(i**2) 9 return res 10 11 print(map_test(num_1))
函数应用1（初级版本）
1 # -*- coding:utf-8 -*- 2 3 num_1=[1,2,3,4,5,6,7,8] 4 def add_one(x): #函数算法 5 return x+1 6 def reduce_one(x): 7 return x-1 8 def squ_two(x): 9 return x**2 10 11 def map_test(func,array): #运算函数 12 res=[] 13 for i in array: 14 res.append(func(i)) 15 return res 16 17 print(map_test(squ_two,num_1)) #高级函数 18 print(map_test(add_one,num_1)) 19 print(map_test(reduce_one,num_1))
函数应用2（终极版）
1 num_1=[1,2,3,4,5,6,7,8]
2 def map_test(func,array): 3 res=[] 4 for i in array: 5 res.append(func(i)) 6 return res 7 8 print(map_test(lambda x:x**2,num_1)) #直接应用匿名函数 对num_1的运算，想要什么运算就用过匿名函数输入任一计算公式
函数应用2就写活了。
map函数的应用
1 # -*- coding:utf-8 -*- 2 num_1=[1,2,3,4,5,6,7,8] 3 res=map(lambda x:x**2,num_1) # 第一个参数是计算公式或自己定义的计算函数， 第二个参数是可迭代对象。 4 print(list(res))
2、filter函数 过滤函数
引用：
1 # -*- coding:utf-8 -*- 2 3 movie_people=["sb_1","sb_2","sb_3","zf"] 4 5 res=[] 6 for p in movie_people: # 删除以SB开头的名字 7 if not p.startswith("sb"): 8 res.append(p) 9 print(res)
函数应用1
1 # -*- coding:utf-8 -*- 2 3 movie_people=["sb_1","sb_2","sb_3","zf"] 4 5 def filter_test(array): 6 res = [] 7 for p in array: # 删除以SB开头的名字 8 if not p.startswith("sb"): 9 res.append(p) 10 return res 11 12 print(filter_test(movie_people))
函数应用2
1 # -*- coding:utf-8 -*- 2 3 movie_people=["sb_1","sb_2","sb_3","zf"] 4 movie_people_1=["1_sb","2_sb","3_sb","zf"] 5 6 def sb_show(n): 7 return n.endswith("sb") 8 9 def filter_test(func,array): 10 res = [] 11 for p in array: # 删除以SB结尾的名字 12 if not func(p): 13 res.append(p) 14 return res 15 16 print(filter_test(sb_show,movie_people_1))
函数应用3（终极版本）
1 # -*- coding:utf-8 -*- 2 3 movie_people=["sb_1","sb_2","sb_3","zf"] 4 movie_people_1=["1_sb","2_sb","3_sb","zf"] 5 6 7 def filter_test(func,array): 8 res = [] 9 for p in array: # 删除以SB开头的名字 10 if not func(p): 11 res.append(p) 12 return res 13 14 print(filter_test(lambda n:n.endswith("sb"),movie_people_1))
filter函数（过滤）
filter（）
1 # -*- coding:utf-8 -*- 2 3 movie_people = ["sb_1", "sb_2", "sb_3", "zf"] 4 movie_people_1 = ["1_sb", "2_sb", "3_sb", "zf"] 5 6 res = filter(lambda n: not n.endswith("sb"), movie_people_1) 7 print(list(res))
3、reduce函数
引用：
1 # -*- coding:utf-8 -*- 2 3 num_1=[1,2,3,4,5,6,7,11,12] 4 5 temp=0 6 for num in num_1: #求和 7 temp=temp+num 8 9 print(temp)
函数应用1
1 # -*- coding:utf-8 -*- 2 3 num_1 = [1, 2, 3, 4, 5, 6, 7, 11, 12] 4 5 6 def reduce_test(array): 7 temp = 0 8 for num in array: 9 temp = temp + num 10 return temp 11 12 13 print(reduce_test(num_1))
函数应用2
1 # -*- coding:utf-8 -*- 2 3 num_1 = [1, 2, 3, 4, 5, 6, 7, 11, 12] 4 5 def reduce_test(func,array): 6 temp = array.pop(0) 7 for num in array: 8 temp=func(temp,num) 9 return temp 10 11 12 print(reduce_test(lambda x,y:x*y,num_1))
reduce()函数，多个数据经过计算合成一个
1 # -*- coding:utf-8 -*- 2 3 from functools import reduce 4 5 num_1 = [1, 2, 3, 4, 5, 6, 7, 11, 12] 6 7 s = reduce(lambda x, y: x * y, num_1, 1) 8 9 print(s)