# -*- coding: utf-8 -*-# @Time    : 2019/1/7 18:00# @Author  : Endless-cloud# @Site    : # @File    : day 13 课后作业.py# @Software: PyCharm'''# 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']

'''# 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'}]

'''# 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,#  }'''# shares={#     'IBM':36.6,#     'Lenovo':23.2,#    'oldboy':21.2,#     'ocean':10.2,#  }# print(list(filter(lambda x:shares[x]>20,shares.keys())))'''# 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}]'''# 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}]# l =[1,2,3]# print(list(map(lambda x:x+1,l)))# print(list(map(lambda x:round(x['shares']*x['price'],1),portfolio)))'''# 8.还是上面的字典，用filter过滤出单价大于100的股票。'''# print(list(map(lambda x:x['name'],filter(lambda x:x['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。'''# l1 = [1,2,3,4,5,6]# l2 = ['oldboy','alex','wusir','太白','日天']# tu = ('**','***','****','*******')# print(list(zip(l1,l2,tu)))'''# 10.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。'''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}]

# print(list(map(lambda x:{'sales_volumn':x},sorted(list(map(lambda i:i['sales_volumn'],l1))))))print(sorted(l1,key=lambda i:i['sales_volumn']))