假设这个字符串:
The fox jumped over the log.
变成:
The fox jumped over the log.
在不分割和进入列表的情况下,最简单的实现方法(1-2行)是什么?
假设这个字符串:
The fox jumped over the log.
变成:
The fox jumped over the log.
在不分割和进入列表的情况下,最简单的实现方法(1-2行)是什么?
当前回答
>>> import re
>>> re.sub(' +', ' ', 'The quick brown fox')
'The quick brown fox'
其他回答
Python开发人员的解决方案:
import re
text1 = 'Python Exercises Are Challenging Exercises'
print("Original string: ", text1)
print("Without extra spaces: ", re.sub(' +', ' ', text1))
输出: 原始字符串:Python练习是具有挑战性的练习 没有额外的空格:Python练习是具有挑战性的练习
import re
Text = " You can select below trims for removing white space!! BR Aliakbar "
# trims all white spaces
print('Remove all space:',re.sub(r"\s+", "", Text), sep='')
# trims left space
print('Remove leading space:', re.sub(r"^\s+", "", Text), sep='')
# trims right space
print('Remove trailing spaces:', re.sub(r"\s+$", "", Text), sep='')
# trims both
print('Remove leading and trailing spaces:', re.sub(r"^\s+|\s+$", "", Text), sep='')
# replace more than one white space in the string with one white space
print('Remove more than one space:',re.sub(' +', ' ',Text), sep='')
结果:作为代码
"Remove all space:Youcanselectbelowtrimsforremovingwhitespace!!BRAliakbar"
"Remove leading space:You can select below trims for removing white space!! BR Aliakbar"
"Remove trailing spaces: You can select below trims for removing white space!! BR Aliakbar"
"Remove leading and trailing spaces:You can select below trims for removing white space!! BR Aliakbar"
"Remove more than one space: You can select below trims for removing white space!! BR Aliakbar"
在某些情况下,需要将每个空格字符的连续出现替换为该字符的单个实例。你可以使用带有反向引用的正则表达式来实现这一点。
(\s)\1{1,}匹配任何空格字符,后面跟着一个或多个该字符。现在,您所需要做的就是指定第一个组(\1)作为匹配的替换。
将其包装在函数中:
import re
def normalize_whitespace(string):
return re.sub(r'(\s)\1{1,}', r'\1', string)
>>> normalize_whitespace('The fox jumped over the log.')
'The fox jumped over the log.'
>>> normalize_whitespace('First line\t\t\t \n\n\nSecond line')
'First line\t \nSecond line'
我不得不同意Paul McGuire的评论。对我来说,
' '.join(the_string.split())
比快速生成正则表达式要好得多。
我的测量结果(Linux和Python 2.5)显示,先分离后连接的速度几乎比“re.sub(…)”快5倍,如果你一次预编译正则表达式并多次执行该操作,速度仍然快3倍。而且无论从哪方面看,它都更容易理解——更python化。
string = 'This is a string full of spaces and taps'
string = string.split(' ')
while '' in string:
string.remove('')
string = ' '.join(string)
print(string)
结果:
这是一个充满空格和点击的字符串