在Python中，我可以使用re.compile将正则表达式编译为不区分大小写:
>>> s = 'TeSt'
>>> casesensitive = re.compile('test')
>>> ignorecase = re.compile('test', re.IGNORECASE)
>>>
>>> print casesensitive.match(s)
None
>>> print ignorecase.match(s)
<_sre.SRE_Match object at 0x02F0B608>
是否有一种方法可以做同样的事情，但不使用re.compile。我在文档中找不到任何类似Perl的I后缀(例如m/test/ I)的东西。
当前回答
#'re.IGNORECASE' for case insensitive results short form re.I
#'re.match' returns the first match located from the start of the string.
#'re.search' returns location of the where the match is found
#'re.compile' creates a regex object that can be used for multiple matches
>>> s = r'TeSt'
>>> print (re.match(s, r'test123', re.I))
<_sre.SRE_Match object; span=(0, 4), match='test'>
# OR
>>> pattern = re.compile(s, re.I)
>>> print(pattern.match(r'test123'))
<_sre.SRE_Match object; span=(0, 4), match='test'>
其他回答
#'re.IGNORECASE' for case insensitive results short form re.I
#'re.match' returns the first match located from the start of the string.
#'re.search' returns location of the where the match is found
#'re.compile' creates a regex object that can be used for multiple matches
>>> s = r'TeSt'
>>> print (re.match(s, r'test123', re.I))
<_sre.SRE_Match object; span=(0, 4), match='test'>
# OR
>>> pattern = re.compile(s, re.I)
>>> print(pattern.match(r'test123'))
<_sre.SRE_Match object; span=(0, 4), match='test'>
你也可以在模式编译时定义不区分大小写:
pattern = re.compile('FIle:/+(.*)', re.IGNORECASE)
(?i)用以下有效标志匹配模式的剩余部分:不区分大小写匹配(忽略[a-zA-Z]的大小写)
>>> import pandas as pd
>>> s = pd.DataFrame({ 'a': ["TeSt"] })
>>> r = s.replace(to_replace=r'(?i)test', value=r'TEST', regex=True)
>>> print(r)
a
0 TEST
对于不区分大小写的正则表达式: 在代码中添加有两种方法:
旗帜=再保险。IGNORECASE Regx3GList = re.search(“(WCDMA) ((\ d *)(,?))*", txt re.IGNORECASE) 不区分大小写的标记(?i) Regx3GList = re.search(“* *(?我)* * (WCDMA:) ((\ d *)(,?))*", txt)
进口
import re
在运行时处理中:
RE_TEST = r'test'
if re.match(RE_TEST, 'TeSt', re.IGNORECASE):
应该提到的是，不使用re.compile是一种浪费。每次调用上述匹配方法时，正则表达式都将被编译。这在其他编程语言中也是错误的做法。下面是更好的实践。
在应用程序初始化中:
self.RE_TEST = re.compile('test', re.IGNORECASE)
在运行时处理中:
if self.RE_TEST.match('TeSt'):
