So I've been playing around with python and noticed something that seems a bit odd. The semantics of -1
in selecting from a list don't seem to be consistent.
所以我一直在玩python并注意到一些看起来有些奇怪的东西。从列表中选择-1的语义似乎不一致。
So I have a list of numbers
所以我有一个数字列表
ls = range(1000)
The last element of the list if of course ls[-1]
but if I take a sublist of that so that I get everything from say the midpoint to the end I would do
列表的最后一个元素当然是ls [-1]但是如果我拿一个子列表以便我从中点到最后得到所有内容我会做
ls[500:-1]
but this does not give me a list containing the last element in the list, but instead a list containing everything UP TO the last element. However if I do
但是这并没有给我一个包含列表中最后一个元素的列表,而是一个包含UP到最后一个元素的列表。但是,如果我这样做
ls[0:10]
I get a list containing also the tenth element (so the selector ought to be inclusive), why then does it not work for -1
.
我得到一个包含第十个元素的列表(因此选择器应该是包含的),为什么它不适用于-1。
I can of course do ls[500:]
or ls[500:len(ls)]
(which would be silly). I was just wondering what the deal with -1 was, I realise that I don't need it there.
我当然可以做ls [500:]或ls [500:len(ls)](这很愚蠢)。我只是想知道-1的交易是什么,我意识到我不需要它。
6 个解决方案
#1
64
In list[first:last]
, last
is not included.
在列表[first:last]中,不包括last。
The 10th element is ls[9]
, in ls[0:10]
there isn't ls[10]
.
第10个元素是ls [9],在ls [0:10]中没有ls [10]。
#2
12
If you want to get a sub list including the last element, you leave blank after colon:
如果要获取包含最后一个元素的子列表,请在冒号后留空:
>>> ll=range(10)
>>> ll
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
>>> ll[5:]
[5, 6, 7, 8, 9]
>>> ll[:]
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
#3
4
I get consistent behaviour for both instances:
我得到两个实例的一致行为:
>>> ls[0:10]
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
>>> ls[10:-1]
[10, 11, 12, 13, 14, 15, 16, 17, 18]
Note, though, that tenth element of the list is at index 9, since the list is 0-indexed. That might be where your hang-up is.
但是请注意,列表的第十个元素位于索引9,因为列表是0索引的。这可能是你的挂机所在。
In other words, [0:10]
doesn't go from index 0-10, it effectively goes from 0 to the tenth element (which gets you indexes 0-9, since the 10 is not inclusive at the end of the slice).
换句话说,[0:10]不会从索引0-10开始,它实际上从0变为第十个元素(这使得索引为0-9,因为10在切片的末尾不包括) 。
#4
2
-1 isn't special in the sense that the sequence is read backwards, it rather wraps around the ends. Such that minus one means zero minus one, exclusive (and, for a positive step value, the sequence is read "from left to right".
在序列被向后读取的意义上,-1并不是特殊的,而是包围了两端。这样减去1意味着零减1,排除(并且对于正步长值,序列从“从左到右”读取)。
so for i = [1, 2, 3, 4]
, i[2:-1]
means from item two to the beginning minus one (or, 'around to the end'), which results in [3]
. The -1th element, or element 0 backwards 1 is the last 4
, but since it's exclusive, we get 3.
因此,对于i = [1,2,3,4],i [2:-1]表示从第二项到开头减一(或“从左到右”),这导致[3]。第-1个元素,或元素0向后1是最后4个,但由于它是独占的,我们得到3。
I hope this is somewhat understandable.
我希望这有点可以理解。
#5
1
It seems pretty consistent to me; positive indices are also non-inclusive. I think you're doing it wrong. Remembering that range() is also non-inclusive, and that Python arrays are 0-indexed, here's a sample python session to illustrate:
这对我来说似乎非常一致;积极指数也是非包容性的。我觉得你做错了。记住range()也是非包容性的,并且Python数组是0索引的,这里是一个示例python会话来说明:
>>> d = range(10)
>>> d
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
>>> d[9]
9
>>> d[-1]
9
>>> d[0:9]
[0, 1, 2, 3, 4, 5, 6, 7, 8]
>>> d[0:-1]
[0, 1, 2, 3, 4, 5, 6, 7, 8]
>>> len(d)
10
#6
1
when slicing an array;
切片时;
ls[y:x]
takes the slice from element y upto and but not including x. when you use the negative indexing it is equivalent to using
从元素y获取切片但不包括x。当你使用负索引时,它相当于使用
ls[y:-1] == ls[y:len(ls)-1]
so it so the slice would be upto the last element, but it wouldn't include it (as per the slice)
所以切片将到达最后一个元素,但它不会包含它(根据切片)
#1
64
In list[first:last]
, last
is not included.
在列表[first:last]中,不包括last。
The 10th element is ls[9]
, in ls[0:10]
there isn't ls[10]
.
第10个元素是ls [9],在ls [0:10]中没有ls [10]。
#2
12
If you want to get a sub list including the last element, you leave blank after colon:
如果要获取包含最后一个元素的子列表,请在冒号后留空:
>>> ll=range(10)
>>> ll
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
>>> ll[5:]
[5, 6, 7, 8, 9]
>>> ll[:]
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
#3
4
I get consistent behaviour for both instances:
我得到两个实例的一致行为:
>>> ls[0:10]
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
>>> ls[10:-1]
[10, 11, 12, 13, 14, 15, 16, 17, 18]
Note, though, that tenth element of the list is at index 9, since the list is 0-indexed. That might be where your hang-up is.
但是请注意,列表的第十个元素位于索引9,因为列表是0索引的。这可能是你的挂机所在。
In other words, [0:10]
doesn't go from index 0-10, it effectively goes from 0 to the tenth element (which gets you indexes 0-9, since the 10 is not inclusive at the end of the slice).
换句话说,[0:10]不会从索引0-10开始,它实际上从0变为第十个元素(这使得索引为0-9,因为10在切片的末尾不包括) 。
#4
2
-1 isn't special in the sense that the sequence is read backwards, it rather wraps around the ends. Such that minus one means zero minus one, exclusive (and, for a positive step value, the sequence is read "from left to right".
在序列被向后读取的意义上,-1并不是特殊的,而是包围了两端。这样减去1意味着零减1,排除(并且对于正步长值,序列从“从左到右”读取)。
so for i = [1, 2, 3, 4]
, i[2:-1]
means from item two to the beginning minus one (or, 'around to the end'), which results in [3]
. The -1th element, or element 0 backwards 1 is the last 4
, but since it's exclusive, we get 3.
因此,对于i = [1,2,3,4],i [2:-1]表示从第二项到开头减一(或“从左到右”),这导致[3]。第-1个元素,或元素0向后1是最后4个,但由于它是独占的,我们得到3。
I hope this is somewhat understandable.
我希望这有点可以理解。
#5
1
It seems pretty consistent to me; positive indices are also non-inclusive. I think you're doing it wrong. Remembering that range() is also non-inclusive, and that Python arrays are 0-indexed, here's a sample python session to illustrate:
这对我来说似乎非常一致;积极指数也是非包容性的。我觉得你做错了。记住range()也是非包容性的,并且Python数组是0索引的,这里是一个示例python会话来说明:
>>> d = range(10)
>>> d
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
>>> d[9]
9
>>> d[-1]
9
>>> d[0:9]
[0, 1, 2, 3, 4, 5, 6, 7, 8]
>>> d[0:-1]
[0, 1, 2, 3, 4, 5, 6, 7, 8]
>>> len(d)
10
#6
1
when slicing an array;
切片时;
ls[y:x]
takes the slice from element y upto and but not including x. when you use the negative indexing it is equivalent to using
从元素y获取切片但不包括x。当你使用负索引时,它相当于使用
ls[y:-1] == ls[y:len(ls)-1]
so it so the slice would be upto the last element, but it wouldn't include it (as per the slice)
所以切片将到达最后一个元素,但它不会包含它(根据切片)