0

我有 1 个列表“name_list”。

name_list=['Name:Bill,Age:28,Height:6.1', 'Name:Dona,Age:23,Height:6.1','Name:Bill,Age:22,Height:6.1', 'Name:Shelly,Age:24,Height:7'] 

1)我想用常见数据对列表进行排序。例如输出应该是这样的:

out=['Name:Bill,Age:28,Height:6.1', 'Name:Bill,Age:22,Height:6.1']

2)我想用 Max 对列表进行排序。年龄。例如,如果我想查看谁的年龄最大输出应该是这样的。

out=['Name:Bill,Age:28,Height:6.1']

这是我到目前为止所做的:

name_list=['Name:Bill,Age:28,Height:6.1', 'Name:Dona,Age:23,Height:6.1','Name:Bill,Age:22,Height:6.1', 'Name:Shelly,Age:24,Height:7'] 


out = filter(lambda x:'Name:Bill' in x and 'Height:6.1' in x,list)
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2 回答 2

1

您必须将列表转换为更易于处理的结构,例如:

people = [
    dict(x.split(':') for x in y.split(','))
    for y in name_list
]

这给了你类似的东西:

[{'Age': '28', 'Name': 'Bill', 'Height': '6.1'}, 
 {'Age': '23', 'Name': 'Dona', 'Height': '6.1'}, 
 {'Age': '22', 'Name': 'Bill', 'Height': '6.1'}, 
 {'Age': '24', 'Name': 'Shelly', 'Height': '7'}]

遍历此列表并选择您需要的任何属性。例如,要查找最年长的人:

oldest = max(people, key=lambda x: x['Age'])
于 2013-01-15T10:02:31.383 回答
0

我将使用以下方法组织数据collections.namedtuple

In [41]: from collections import namedtuple
         person = namedtuple('person','name age height')

In [42]: persons=[person(*(i.split(':')[1] for i in n.split(','))) 
                                               for n in name_list]

In [43]: max(persons,key=lambda x:x.age)
Out[43]: person(name='Bill', age='28', height='6.1')

In [44]: max(persons,key=lambda x:x.height)
Out[44]: person(name='Shelly', age='24', height='7')

In [45]: max(persons,key=lambda x:x.height).name
Out[45]: 'Shelly'
In [46]: persons
Out[46]: 
[person(name='Bill', age='28', height='6.1'),
 person(name='Dona', age='23', height='6.1'),
 person(name='Bill', age='22', height='6.1'),
 person(name='Shelly', age='24', height='7')]
于 2013-01-15T09:40:42.583 回答