Python的切片表示法是如何工作的?也就是说:当我编写[x:y:z]、a[:]、a]::2]等代码时,我如何理解哪些元素最终会出现在切片中?请在适当的地方附上参考资料。
另请参见:为什么切片和范围上限是互斥的?
Python的切片表示法是如何工作的?也就是说:当我编写[x:y:z]、a[:]、a]::2]等代码时,我如何理解哪些元素最终会出现在切片中?请在适当的地方附上参考资料。
另请参见:为什么切片和范围上限是互斥的?
当前回答
Index:
------------>
0 1 2 3 4
+---+---+---+---+---+
| a | b | c | d | e |
+---+---+---+---+---+
0 -4 -3 -2 -1
<------------
Slice:
<---------------|
|--------------->
: 1 2 3 4 :
+---+---+---+---+---+
| a | b | c | d | e |
+---+---+---+---+---+
: -4 -3 -2 -1 :
|--------------->
<---------------|
我希望这将帮助您用Python建模列表。
参考:http://wiki.python.org/moin/MovingToPythonFromOtherLanguages
其他回答
还可以使用切片分配从列表中删除一个或多个元素:
r = [1, 'blah', 9, 8, 2, 3, 4]
>>> r[1:4] = []
>>> r
[1, 2, 3, 4]
在Python 2.7中
Python中的切片
[a:b:c]
len = length of string, tuple or list
c -- default is +1. The sign of c indicates forward or backward, absolute value of c indicates steps. Default is forward with step size 1. Positive means forward, negative means backward.
a -- When c is positive or blank, default is 0. When c is negative, default is -1.
b -- When c is positive or blank, default is len. When c is negative, default is -(len+1).
理解索引分配非常重要。
In forward direction, starts at 0 and ends at len-1
In backward direction, starts at -1 and ends at -len
当你说[a:b:c]时,你是说根据c的符号(向前或向后),从a开始,到b结束(不包括bth索引中的元素)。使用上面的索引规则,并记住您只能找到此范围内的元素:
-len, -len+1, -len+2, ..., 0, 1, 2,3,4 , len -1
但这一范围在两个方向上无限延伸:
...,-len -2 ,-len-1,-len, -len+1, -len+2, ..., 0, 1, 2,3,4 , len -1, len, len +1, len+2 , ....
例如:
0 1 2 3 4 5 6 7 8 9 10 11
a s t r i n g
-9 -8 -7 -6 -5 -4 -3 -2 -1
如果在使用上面的a、b、c的规则进行遍历时,a、b和c的选择允许与上面的范围重叠,则会得到一个包含元素的列表(在遍历过程中被触摸),或者得到一个空列表。
最后一件事:如果a和b相等,那么也会得到一个空列表:
>>> l1
[2, 3, 4]
>>> l1[:]
[2, 3, 4]
>>> l1[::-1] # a default is -1 , b default is -(len+1)
[4, 3, 2]
>>> l1[:-4:-1] # a default is -1
[4, 3, 2]
>>> l1[:-3:-1] # a default is -1
[4, 3]
>>> l1[::] # c default is +1, so a default is 0, b default is len
[2, 3, 4]
>>> l1[::-1] # c is -1 , so a default is -1 and b default is -(len+1)
[4, 3, 2]
>>> l1[-100:-200:-1] # Interesting
[]
>>> l1[-1:-200:-1] # Interesting
[4, 3, 2]
>>> l1[-1:-1:1]
[]
>>> l1[-1:5:1] # Interesting
[4]
>>> l1[1:-7:1]
[]
>>> l1[1:-7:-1] # Interesting
[3, 2]
>>> l1[:-2:-2] # a default is -1, stop(b) at -2 , step(c) by 2 in reverse direction
[4]
在找到这张很棒的桌子http://wiki.python.org/moin/MovingToPythonFromOtherLanguages
Python indexes and slices for a six-element list.
Indexes enumerate the elements, slices enumerate the spaces between the elements.
Index from rear: -6 -5 -4 -3 -2 -1 a=[0,1,2,3,4,5] a[1:]==[1,2,3,4,5]
Index from front: 0 1 2 3 4 5 len(a)==6 a[:5]==[0,1,2,3,4]
+---+---+---+---+---+---+ a[0]==0 a[:-2]==[0,1,2,3]
| a | b | c | d | e | f | a[5]==5 a[1:2]==[1]
+---+---+---+---+---+---+ a[-1]==5 a[1:-1]==[1,2,3,4]
Slice from front: : 1 2 3 4 5 : a[-2]==4
Slice from rear: : -5 -4 -3 -2 -1 :
b=a[:]
b==[0,1,2,3,4,5] (shallow copy of a)
我自己使用“元素之间的索引点”方法来思考它,但描述它的一种方式有时有助于其他人获得它:
mylist[X:Y]
X是所需的第一个元素的索引。Y是不需要的第一个元素的索引。
已经有很多答案了,但我想添加一个性能比较
~$ python3.8 -m timeit -s 'fun = "this is fun;slicer = slice(0, 3)"' "fun_slice = fun[slicer]"
10000000 loops, best of 5: 29.8 nsec per loop
~$ python3.8 -m timeit -s 'fun = "this is fun"' "fun_slice = fun[0:3]"
10000000 loops, best of 5: 37.9 nsec per loop
~$ python3.8 -m timeit -s 'fun = "this is fun"' "fun_slice = fun[slice(0, 3)]"
5000000 loops, best of 5: 68.7 nsec per loop
~$ python3.8 -m timeit -s 'fun = "this is fun"' "slicer = slice(0, 3)"
5000000 loops, best of 5: 42.8 nsec per loop
因此,如果您重复使用同一个切片,使用切片对象将有益并提高可读性。然而,如果您只进行了几次切片,则应首选[:]表示法。