python开发【lambda篇】

lambda 与 python 高级函数的配套使用

filter函数 过滤

 __author__ = "Tang"

 # filter(lambda, [])
 people = ['tanglaoer','chenlaosan_sb','linlaosi_sb','wanglaowu']
 res = filter(lambda n:not n.endswith('_sb'),people)
 print(list(res)) # ['tanglaoer', 'wanglaowu']

 # filter(lambda,())
 people = ('tanglaoer','chenlaosan_sb','linlaosi_sb','wanglaowu',)
 res = filter(lambda n:not n.endswith('_sb'),people)
 print(tuple(res)) # ('tanglaoer', 'wanglaowu')

map函数 遍历操作

 # map(lambda,str)
 msg = 'tanglaoer'
 print(list(map(lambda x:x.upper(),msg))) #['T', 'A', 'N', 'G', 'L', 'A', 'O', 'E', 'R']

 # map(lambda,[])
 msg = ['tanglaoer','chenlaosan_sb','linlaosi_sb','wanglaowu']
 print(list(map(lambda x:x.upper(),msg))) #['TANGLAOER', 'CHENLAOSAN_SB', 'LINLAOSI_SB', 'WANGLAOWU']

 # map(lambda,())
 msg = ('tanglaoer','chenlaosan_sb','linlaosi_sb','wanglaowu',)
 print(tuple(map(lambda x:x.upper(),msg))) #('TANGLAOER', 'CHENLAOSAN_SB', 'LINLAOSI_SB', 'WANGLAOWU')

reduce函数 lambda接受两个参数

 # reduce(lambda,[])
 from functools import reduce
 num_list = [1,2,3,100]
 print(reduce(lambda x,y:x+y,num_list)) #

 #reduce(lambda,())
 num_list = (1,2,3,100,)
 print(reduce(lambda x,y:x+y,num_list)) #