map、filter与lambda表达式


如下，每个小字典的name对应股票名字，shares对应多少股，price对应股票的价格
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}
]
1.通过哪个内置函数可以计算购买每支股票的总价

print(list(map(lambda dic: {dic['name']: round(dic['shares'] * dic['price'])}, portfolio)))


2.用filter过滤出，单价大于100的股票有哪些？

1  f= filter(lambda x:x['price'] > 100,portfolio)
2 print(list(f))

map、filter与lambda表达式

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