Python learning tips: Sample code sharing for sorting list items

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Typical code 1:

data_list = [6, 9, 1, 3, 0, 10, 100, -100] 
data_list.sort() 
print(data_list)

Output 1:

[-100, 0, 1, 3, 6, 9, 10, 100]

Typical code 2:

data_list = [6, 9, 1, 3, 0, 10, 100, -100] 
data_list_copy = sorted(data_list) 
print(data_list) 
print(data_list_copy)

Output 2:

[6, 9, 1, 3, 0, 10, 100, -100] 
[-100, 0, 1, 3, 6, 9, 10, 100]

Application scenario

Used when items in the list need to be sorted. Among them, the typical code 1 is a sorting method of the list itself, which is automatically sorted in ascending order and sorted in place. The sorted list itself will be modified; the typical code 2 is the built-in function## that is called. #sort will generate a new sorted list object , and the original list will not be affected. The parameters accepted by these two methods are almost the same. They both accept a key parameter. This parameter is used to specify which part of the object is used as the basis for sorting:

data_list = [(0, 100), (77, 34), (55, 97)] 
data_list.sort(key=lambda x: x[1]) # 我们想要基于列表项的第二个数进行排序 
print(data_list) 
 
>>> [(77, 34), (55, 97), (0, 100)]

data_list = [(0, 100), (77, 34), (55, 97)] 
data_list.sort(key=lambda x: x[1], reverse=True) # 我们想要基于列表项的第二个数进行排序，并倒序 
print(data_list) 
>>> [(0, 100), (55, 97), (77, 34)]

Benefits

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