python 高级特性:slice(切片) 灵活指定范围
2018-07-16 11:33
555 查看
在python 官网的解释:
class
class
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.
一、普通指定范围方法
#将数字填入L
L = []; #list
n = 1;
while n <= 99:
L.insert(0, n);
n = n + 1;
print L;
#take n in head
n = 10
for i in range(n):
print i, ":", L[i];
二、slice方式
L = []; #list
n = 1;
while n <= 99:
L.insert(0, n);
n = n + 1;
#slice
##follow way:
print "L[0:10]:", L[0:10]; #从第0位开始,第10位结束
print "L[:10]:", L[:10]; # = L[0:10]
print "L[::2]:", L[::2]; # = L[0:100:2] 逢2出1
print "L[-2:]", L[-2:]; # 从左往右,倒数第二位开始
print "L[-2:-1]", L[-2:-1]; # 从左往右,倒数第二位开始 ,倒数第一位结束
print "L[:-90]:", L[:-90];
print '';
string = 'abcdef'
print 'string:%s'%string;
print 'string[:3]:', string[:3];
print 'string[::2]:', string[::2];
可见,slice 比 循环还要简洁。
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.
一、普通指定范围方法
#将数字填入L
L = []; #list
n = 1;
while n <= 99:
L.insert(0, n);
n = n + 1;
print L;
#take n in head
n = 10
for i in range(n):
print i, ":", L[i];
二、slice方式
L = []; #list
n = 1;
while n <= 99:
L.insert(0, n);
n = n + 1;
#slice
##follow way:
print "L[0:10]:", L[0:10]; #从第0位开始,第10位结束
print "L[:10]:", L[:10]; # = L[0:10]
print "L[::2]:", L[::2]; # = L[0:100:2] 逢2出1
print "L[-2:]", L[-2:]; # 从左往右,倒数第二位开始
print "L[-2:-1]", L[-2:-1]; # 从左往右,倒数第二位开始 ,倒数第一位结束
print "L[:-90]:", L[:-90];
print '';
string = 'abcdef'
print 'string:%s'%string;
print 'string[:3]:', string[:3];
print 'string[::2]:', string[::2];
可见,slice 比 循环还要简洁。
相关文章推荐
- python学习笔记-高级特性-切片(Slice)
- Python基础-高级特性-切片(Slice)
- Python高级特性切片(Slice)操作详解
- Python高级特性-切片(Slice)
- 【Python】高级特性之切片(slice)
- python2.7学习笔记(6) ——高级特性:切片、迭代、列表生成式、生成器
- Python高级特性:切片
- python高级特性 - 切片
- Python高级特性——多维数组切片(Slice)
- 【Python】[高级特性]切片,迭代,列表生成式,生成器,迭代器
- python的高级特性:切片,迭代,列表生成式,生成器,迭代器
- 【Python学习笔记】python高级特性:切片
- Python高级特性(切片,迭代,列表生成式、生成器、迭代器)
- Python之高级特性(切片,迭代,列表生成式,生成器)
- Python——高级特性 切片
- Python3 基础:高级特性-切片和迭代
- python高级特性:切片/迭代/列表生成式/生成器
- python切片、迭代、生成器、列表生成式等高级特性学习
- Python自学笔记之高级特性1——切片和迭代
- Python高级特性之切片