问题:在字符串的开始、结尾或中间去掉不需要的字符,比如说空格符

解决方案:

1、字符串开始或结尾处去掉字符:str.strip()

2、从左或从右侧开始执行去除字符:str.lstrip()、str.rstrip()

3、对位于字符串中间的进行去除字符:str.replace()、re.sub()

Python 3.4.0 (v3.4.0:04f714765c13, Mar 16 2014, 19:24:06) [MSC v.1600 32 bit (Intel)] on win32
Type "copyright", "credits" or "license()" for more information.
>>> s=' hello world \n'
>>> s.strip()
'hello world'
>>> s.lstrip()
'hello world \n'
>>> s.rstrip()
' hello world'
>>> t='----hello===='
>>> t.lstrip('-')
'hello===='
>>> t.rstrip('=')
'----hello'
>>> t.strip('-=')
'hello'
>>> s2=' hello world \n'
>>> s2.strip()#对中间的空格不起作用
'hello world'
>>> s2.replace(' ','')
'helloworld\n'
>>> import re
>>> re.sub('\s+',' ',s2)
' hello world '
>>> re.sub('\s+','',s2)
'helloworld'
>>>

通常遇到的情况是将去除字符的操作同某些迭代器结合起来,比如说从文件中读取文本行。此时,就是生成器表达式大显身手的时候了,例如:

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" alt="" />

with open('test.txt') as f:
lines=(line.strip() for line in f)
for line in lines:
print(line)
>>> ================================ RESTART ================================
>>>
hello world
hello world
hello world
>>>

lines=(line.strip() for line in f)的作用是完成数据的转换,它很高效,因为这里并没有先将数据读取到任何形式的临时列表中,它只是创建一个迭代器,在所有产生出的文本行上都会执行strip()操作。

对于更高级的strip()操作,请见下一节的translate()方法。

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