[英]How can i sort a zipped list based on conditions?
I'am trying to sort a zipped list based on the value. 我正在尝试根据值对压缩列表进行排序。 So the list is something like this
所以列表是这样的
[('Job 1', '3', '1'), ('Job 2', '1', '3'), ('Job 3', '2', '3'),('Job 4', '4', '3')]
What I want to do is to sort the list based on the value of the index [1]
and [2]
. 我要做的是根据索引
[1]
和[2]
的值对列表进行排序。 For example: 例如:
Job 1 3 1
Job 2 1 3
Job 3 2 3
Job 4 4 3
If the value in column 2 is smaller than column 3, the table would become: 如果第2列中的值小于第3列,则该表将变为:
Job 2 1 3
Job 3 2 3
Job 1 3 1
Job 4 4 3
I have been searching for the method but it seems like a dead end. 我一直在寻找方法,但似乎死路一条。 So far what I found is just
sort()
the whole list based on the index. 到目前为止,我发现的只是基于索引对整个列表进行
sort()
。
You could just sort
it by using the keyfunc
that returns index 1
and index 2
item converted to int
, 您可以通过使用返回转换为
int
index 1
和index 2
项的keyfunc
对其进行sort
。
>>> x
[('Job 1', '3', '1'), ('Job 2', '1', '3'), ('Job 3', '2', '3'), ('Job 4', '4', '3')]
>>> sorted(x, key=lambda x: (int(x[1]), int(x[2])))
[('Job 2', '1', '3'), ('Job 3', '2', '3'), ('Job 1', '3', '1'), ('Job 4', '4', '3')]
>>> y = _
>>> for i in x:
... print(i)
...
('Job 1', '3', '1')
('Job 2', '1', '3')
('Job 3', '2', '3')
('Job 4', '4', '3')
>>> for j in y:
... print(j)
...
('Job 2', '1', '3')
('Job 3', '2', '3')
('Job 1', '3', '1')
('Job 4', '4', '3')
>>>
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