• map filter reduce 函数


     1 ###### map函数 处理序列中的每一个函数,得到的结果是一个’列表‘,该列表元素位置与原来一样
     2 
     3 # num1 = [1,2,3,4,5,6,7,8,9]
     4 # num2 = []
     5 # for i in num1:
     6 #     num2.append(i**3)
     7 #
     8 # print(num2)
     9 
    10 # num1 = [1,2,3,4,5,6,7,8,9]
    11 # def map_text(arrray):
    12 #     num2 = []
    13 #     for i in num1:
    14 #         num2.append(i**3)
    15 #     return num2
    16 # ret = map_text(num1)
    17 # print(ret)
    18 
    19 
    20 # num1 = [1,2,3,4,5,6,7,8,9]
    21 # def add_text(x):
    22 #     return x-1
    23 #
    24 #def reduce_text(x):
    25 #     return x + 1
    26 
    27 # def pingfang(x):
    28 #     return x**3
    29 #
    30 # def map_text(func,array):
    31 #     ret = []
    32 #     for i in num1:
    33 #         res = func(i)
    34 #         ret.append(res)
    35 #     return ret
    36 #
    37 # lambda x:x+1
    38 # lambda x:x-1
    39 # lambda x:x**3
    40 #
    41 #
    42 # print(map_text(add_text,num1) )
    43 # print(map_text(reduce_text,num1) )
    44 # print(map_text(pingfang,num1) )
    45 # print(map_text(lambda x:x+1,num1) )
    46 # print(map_text(lambda x:x-1,num1) )
    47 # print(map_text(lambda x:x**3,num1) )
    48 
    49 
    50 # array = [1,2,3,4,5,6,7,8,9]
    51 # def map_text(func,array):
    52 #     ret = []
    53 #     for i in array:
    54 #         res = func(i)
    55 #         ret.append(res)
    56 #     return ret
    57 #
    58 # print(map_text(lambda x:x+1,array) )
    59 # res = map(lambda x:x+1,array)
    60 # print('内置函数map,处理结果',res )
    61 #
    62 # print(list(res))
    63 
    64 # num1 = [1,2,3,4,5,6,7,8,9]
    65 # def add_one(x):
    66 #     return x + 1
    67 # print('臭弟弟,精神小伙',tuple(map(add_one,num1) ))
    68 # print('臭弟弟,精神小伙',list(map(add_one,num1) ))
    69 
    70 # msg = 'luoluo'
    71 # print(list(map(lambda x:x.upper(),msg)))
     1 ##  filter() 函数  #  filter函数,是用来过滤列表的。简单的说就是用一个函数来过滤一个列表,
     2 # 把列表的每一项传递进入过滤函数,过滤函数返回false就从这个列表中删除该项。
     3 
     4 # res = []
     5 # people = ['袁浩_sb','zhongyunyang_sb','liuyixiang_sb','kangkang']
     6 # for i in people:
     7 #     if not i.endswith('sb'):
     8 #         res.append(i)
     9 # print(res)
    10 
    11 
    12 # people = ['袁浩_sb','zhongyunyang_sb','liuyixiang_sb','kangkang']
    13 # def filter_text(array):
    14 #     res = []
    15 #
    16 #     for i in array:
    17 #         if not i.endswith('sb'):
    18 #             res.append(i)
    19 #     return res
    20 # print(filter_text(people) )
    21 
    22 # people = ['袁浩_sb','zhongyunyang_sb','liuyixiang_sb','kangkang']
    23 # def sb_show(n):
    24 #     return n.endswith('sb')
    25 #
    26 #
    27 # def filter_text(func,array):
    28 #     res = []
    29 #
    30 #     for i in array:
    31 #         if not i.endswith('sb'):
    32 #             res.append(i)
    33 #     return res
    34 # print(filter_text(sb_show,people) )
    35 
    36 
    37 # people = ['袁浩_sb','zhongyunyang_sb','liuyixiang_sb','kangkang']
    38 # lambda n:n.endswith('sb')
    39 # def filter_text(func,array):
    40 #     res = []
    41 #     for i in array:
    42 #         if not i.endswith('sb'):
    43 #             res.append(i)
    44 #     return res
    45 # a = filter_text(lambda n:n.endswith('sb'),people)
    46 # print(a)
    47 #
    48 # print(list(filter(lambda n:not n.endswith('sb'),people) ))
     1 #reduce函数##
     2 
     3 # from functools import reduce
     4 # num = [4,5,6,7]
     5 # print(reduce(lambda x,y:x*y,num) )
     6 
     7 # num = [4,5,6,7]
     8 # res = 0
     9 # for i in num:
    10 #     res += i
    11 # print(res)
    12 
    13 
    14 # num = [4,5,6,7]
    15 # def reduce_text(array):
    16 #     res = 0
    17 #     for i in num:
    18 #         res+=i
    19 #     return res
    20 # print(reduce_text(num ) )
    21 #
    Never compromise.
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  • 原文地址:https://www.cnblogs.com/luoluokang/p/12460615.html
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