[英]how to sort list according certain criterion
for example I have a list 例如我有一个清单
list = [['word1', 0.234], ['word2', 0.2], ['word3', 0.5], ['word4', 0,67]]
and I want to sort it by importance. 我想按重要性排序。 Importance means how far is the value from 0.5.
重要性是指该值距0.5的距离。 The list after sorting should be:
排序后的列表应为:
list = [['word2', 0.2], ['word1', 0.234], ['word4', 0.67], ['word3', 0,5]]
First I solved it by writing simple function based on bubble sorting but it's very slow. 首先,我通过编写基于气泡排序的简单函数解决了它,但是它非常慢。
def most_interesting_words(seznam):
"""sort list i.e. [['word', spamicity], ...], first tokens whose value was furthest from the neutral value of
for i in range(len(seznam)):
for j in range(len(seznam)):
#if dist_from_05(seznam[i][1]) > dist_from_05(seznam[j][1]):
if abs(0.5 - seznam[i][1]) > abs(0.5 - seznam[j][1]):
tmp = seznam[i]
seznam[i] = seznam[j]
seznam[j] = tmp
return seznam
How it can be solved with sorted() function? 如何使用sorted()函数解决?
To sort by distance from 0.5
you can use the following sorted()
function: 要按距离
0.5
排序,可以使用以下sorted()
函数:
my_list = [['word1', 0.234], ['word2', 0.2], ['word3', 0.5], ['word4', 0.67]]
print(sorted(my_list, key=lambda x: abs(0.5 - x[1]), reverse=True))
This would give you the following output: 这将为您提供以下输出:
[['word2', 0.2], ['word1', 0.234], ['word4', 0.67], ['word3', 0.5]]
Using the parameter key
. 使用参数
key
。 Example 例
myList = [['word1', 0.234], ['word2', 0.2], ['word3', 0.5], ['word4', 0.67]]
print(sorted(myList,key= lambda x: abs(0.5-x[1]),reverse=True))
Output: 输出:
[[word2, 0.2], [word1, 0.234], [word4, 0.67], [word3, 0.5]]
If you want to actually sort you list and not create a new one use myList.sort(key= lambda x: abs(0.5-x),reverse=True)
instead 如果您想对列表进行实际排序而不创建新列表,请使用
myList.sort(key= lambda x: abs(0.5-x),reverse=True)
代替
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