# 4，用map来处理字符串列表,把列表中所有人都变成sb,比方alex_sb# name=['oldboy','alex','wusir']# print(list(map(lambda i:i+"_sb",name)))#5，用map来处理下述l，然后用list得到一个新的列表，列表中每个人的名字都是sb结尾# l=[{'name':'alex'},{'name':'y'}]# print(list(map(lambda dic:dic['name']+"_sb",l)))#6，用filter来处理,得到股票价格大于20的股票名字# shares={#    	'IBM':36.6,#    	'Lenovo':23.2,#   	'oldboy':21.2,#     'ocean':10.2,# 	}# print(list(filter(lambda i:shares[i]>20,shares)))#7.有下面字典，得到购买每只股票的总价格，并放在一个迭代器中。# 结果：list一下[9110.0, 27161.0,......]# portfolio=[#     {'name':'IBM','shares':100,'price':91.1},#     {'name':'AAPL','shares':50,'price':543.22},#     {'name':'FB','shares':200,'price':21.09},#     {'name':'HPQ','shares':35,'price':31.75},#     {'name':'YHOO','shares':45,'price':16.35},#     {'name':'ACME','shares':75,'price':115.65}]# print(list(map(lambda dic:dic['shares']*dic['price'],portfolio)))#8.是上面的字典，用filter过滤出单价大于100的股票。# portfolio=[#     {'name':'IBM','shares':100,'price':91.1},#     {'name':'AAPL','shares':50,'price':543.22},#     {'name':'FB','shares':200,'price':21.09},#     {'name':'HPQ','shares':35,'price':31.75},#     {'name':'YHOO','shares':45,'price':16.35},#     {'name':'ACME','shares':75,'price':115.65}]# print(list(filter(lambda dic:dic['price']<100,portfolio)))#9有下列三种数据类型，l1 = [1,2,3,4,5,6]l2 = ['oldboy','alex','wusir','太白','日天']tu = ('**','***','****','*******')# 写代码，最终得到的是（每个元祖第一个元素>2,第三个*至少是4个。）# 	[(3, 'wusir', '****'), (4, '太白', '*******')]这样的数据。a=filter(lambda lst:lst[0]>2 and len(lst[2])>=4,list(i for i in zip(l1,l2,tu)))print(list(a))#有如下数据类型：# l1 = [ {'sales_volumn': 0},#         {'sales_volumn': 108},#         {'sales_volumn': 337},#         {'sales_volumn': 475},#         {'sales_volumn': 396},#         {'sales_volumn': 172},#         {'sales_volumn': 9},#         {'sales_volumn': 58},#         {'sales_volumn': 272},#         {'sales_volumn': 456},#         {'sales_volumn': 440},#         {'sales_volumn': 239}]# # 将l1按照列表中的每个字典的values大小进行排序，形成一个新的列表。# print(sorted(l1,key=lambda dic:dic['sales_volumn']))