问题描述
大家好，
我可以通过多个排序键在Python中对多维数组进行排序吗？一个
litte代码示例会很好！
Thx，
Rehceb
您可以将函数作为参数传递给列表的排序方法。
函数应该接受两个参数并返回-1， 0或1为
比较结果。就像cmp函数一样。
这将通过id属性列出obj_lst中的对象：
def sorter（a，b）：
返回cmp（a.id，b.id）
obj_lst.sort（分拣机）
Thomas
如果你想要一个好的答案，你必须给我/我们更多的细节，以及一个
的例子。
再见，
熊宝宝
好的，这是一些示例数据：
反应是由
钠，但它是
海，但这是
这种方式但是解散了
模式，但它是
快速，但它是
由于每行包含5个单词，我会将数据分解成数组
的五个字段数组（你会在
Python中使用列表或元组或组合吗？）。单词BUT将在中间，两个字段/单词
左边和两个字段/单词右边。然后我想按这个列表排序
- 字段3
- 字段4
- 字段1
- 字段0
此层次结构中的
。这是理想的结果：
模式，但它是快速的b / b
海，但它是
钠，但它是
反应是由
这种方式但是已经解散了
前4行全部无法按字段3& 4，因为它们是相同的（它，是），所以它们首先按字段1排序（
也是相同的：" ;，&）;然后按字段0：
模式
快速
海
钠
我希望我以一种可以理解的方式对此进行了解释。如果你能告诉我如何用Python做到这一点会很酷
！
问候，
Rehceb
Hello everyone,
can I sort a multidimensional array in Python by multiple sort keys? A
litte code sample would be nice!
Thx,
Rehceb
You can pass a function as argument to the sort method of a list.
The function should take two arguments and return -1, 0 or 1 as
comparison result. Just like the cmp function.
This will objects in list obj_lst by their id attributes:
def sorter(a, b):
return cmp(a.id, b.id)
obj_lst.sort(sorter)
Thomas
If you want a good answer you have to give me/us more details, and an
example too.
Bye,
bearophile
OK, here is some example data:
reaction is BUT by the
sodium , BUT it is
sea , BUT it is
this manner BUT the dissolved
pattern , BUT it is
rapid , BUT it is
As each line consists of 5 words, I would break up the data into an array
of five-field-arrays (Would you use lists or tuples or a combination in
Python?). The word "BUT" would be in the middle, with two fields/words
left and two fields/words right of it. I then want to sort this list by
- field 3
- field 4
- field 1
- field 0
in this hierarchy. This is the desired result:
pattern , BUT it is
rapid , BUT it is
sea , BUT it is
sodium , BUT it is
reaction is BUT by the
this manner BUT the dissolved
The first 4 lines all could not be sorted by fields 3 & 4, as they are
identical ("it", "is"), so they have been sorted first by field 1 (which
is also identical: ",") and then by field 0:
pattern
rapid
sea
sodium
I hope I have explained this in an understandable way. It would be cool
if you could show me how this can be done in Python!
Regards,
Rehceb
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