16. Python开发--匿名函数

# def func(x,y):

#     return x+y

#

# func(1,2)

#匿名函数

# f=lambda x,y:x+y

# print(f)

#

# print(f(1,2))

#

# lambda x,y:x+y

#max,min,zip,sorted的用法

salaries={

'egon':3000,

'alex':100000000,

'wupeiqi':10000,

'yuanhao':2000

}

# print(max(salaries))

# res=zip(salaries.values(),salaries.keys())

#

# # print(list(res))

# print(max(res))

# def func(k):

#     return salaries[k]

# print(max(salaries,key=func))

# print(max(salaries,key=lambda k:salaries[k]))

# print(min(salaries,key=lambda k:salaries[k]))

# print(sorted(salaries)) #默认的排序结果是从小到到

# print(sorted(salaries,key=lambda x:salaries[x])) #默认的排序结果是从小到到

# print(sorted(salaries,key=lambda x:salaries[x],reverse=True)) #默认的排序结果是从小到到

#

# x=1000

# def f1():

#     # global x

#     x=0

#

# f1()

# print(x)

'''

4. 内置函数

    map

    reduce

    filter

'''

# def func(f):

#     return f

#

# res=func(max)

# print(res)

# l=['alex','wupeiqi','yuanhao']

#

#

# res=map(lambda x:x+'_SB',l)

#

# print(res)

#

# print(list(res))

#

# nums=(2,4,9,10)

#

# res1=map(lambda x:x**2,nums)

#

# print(list(res1))

# from functools import reduce

#

# l=[1,2,3,4,5]

# print(reduce(lambda x,y:x+y,l,10))

# l=['alex_SB','wupeiqi_SB','yuanhao_SB','egon']

#

# res=filter(lambda x:x.endswith('SB'),l)

# print(res)

# print(list(res))