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    python内置函数之slice案例详解

    作者:十月狐狸 时间:2021-09-14 17:58

    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]. See 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]).
     |  
     |  Methods defined here:
     |  
     |  ...#省略#
     |  ----------------------------------------------------------------------
     |  Data descriptors defined here:
     |  
     |  start
     |  
     |  step
     |  
     |  stop
     |  
     |  ----------------------------------------------------------------------
     |  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、step。

    >>> 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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