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。
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>>> 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 |
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>>> 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。
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>>> 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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原文链接:https://www.cnblogs.com/sesshoumaru/p/6063975.html