CODEWITHSUNDEEP
python
Noob_NoVoice
Noob_NoVoice

Reputation: 217

Filter function in python

I am having 1 list "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) I want to sort the list with common datas. For example the output should come like this:

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

2) I want to sort the list with Max. Age. For example If I want to check out who is having max age output should come like this.

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

This is what I have done till now:

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)

Upvotes: 0

Views: 178

Answers (2)

root
root

Reputation: 80456

I would organize the data using 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')]

Upvotes: 0

georg
georg

Reputation: 215059

You have to convert the list to a structure that is easier to process, for example:

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

This gives you something like:

[{'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'}]

Iterate over this list and pick whatever attributes you need. For example, to find the oldest person:

oldest = max(people, key=lambda x: x['Age'])

Upvotes: 1

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