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python内置函数之slice案例详解

开发者 https://www.devze.com 2022-11-30 13:54 出处:网络 作者: 十月狐狸
英文文档:classslice(stop)classslice(start,stop[,step])Returnasliceobjectrepresentingtheset...

英文文档:

class slice(stop) class slice(start, stop[, step]) Return a slice object representing the set of indices specified by range(start, stop, step). The start and step arguments default to None. Slice objects have read-only data attributes start, stop and step which merely return the argument values (or their default). They have no other explicit functionality; however they are used by Numerical python and other third party extensions. Slice objects are also generated when extended indexing syntax is used. For example: a[start:stop:step] or a[start:stop, i]. S编程客栈ee itertools.islice() for an alternate version that returns an iterator.

说明:

  1. 函数实际上是一个切片类的构造函数,返回一个切片对象。

  2. 切片对象由3个属性start、stop、step组成,start和step默认值为None。切片对象主要用于对序列对编程客栈象进行切片取对应元素。

>>> help(slice)
class slice(object)
 |  slice(stop)
 |  slice(start, stop[, step])
 |  
 |  Create a slice object.  This is used for extended slicing (e.g. a[0:10:2]).
 |  
 |  编程客栈Methods defined here:
 |  
 |  ...#省略#
 |  ----------------------------------------------------------------------
 |  Data descriptors defined here:
 |  
 |  start
 |  
 |  step
 |  
 |  stop
 |  
 |  ------------------------------------------编程客栈----------------------------
 |  Data and other attributes defined here:
 |  
 |  __hash__ = None
>>> a = list(range(10))
>>> a
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]

>>> a[None:5:None] # start step显式为None
[0, 1, 2, 3, 4]
>>> a[:5:] # start step默认为None
[0, 1, 2, 3, 4]
>>> a[2:5:None] # step显式为None
[2, 3, 4]
>>> a[2:5:] # step默认为None
[2, 3, 4]
>>> a[1:10:3]
[1, 4, 7]

  3. 对应切片对象的3个属性start、stop、step,slice函数也有3个对应的参数start、stop、step,其值分别会付给切片对象的start、stop、stewww.cppcns.comp。

>>> c1 = slice(5) # 定义c1
>>> c1
slice(None, 5, None)
>>> c2 = slice(2,5) # 定义c2
>>> c2
slice(2, 5, None)
>>> c3 = slice(1,10,3) # 定义c3
>>> c3
slice(1, 10, 3)
>>> a[c1] # 和a[:5:]结果相同
[0, 1, 2, 3, 4]
>>> a[c2] # 和a[2:5:]结果相同
[2, 3, 4]
>>> a[c3] # 和a[1:10:3]结果相同
[1, 4, 7]

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