15. 使用 re.finditer() 函数 re.finditer()函数与re.findall()函数类似,但它返回一个迭代器,可以逐个访问匹配对象。 text = "Python is a powerful programming language" # 使用 re.finditer() 函数匹配所有单词 matches_iter = re.finditer(r'\b\w+\b', text) for match in matches_iter: print(mat...
re.X 此标志允许你在正则表达式中写入注解,这将使正则表达式更易读。 例如,使用 re.IGNORECASE 使得匹配不区分大小写: import re pattern = re.compile(r'apple', flags=re.IGNORECASE) string = 'This is an Apple, and that is an apple.' matches = pattern.findall(string) print(matches) # 输出: ...
print(re_obj.search(string=s_true),re_obj.search(string=s_true).groups() ,re_obj.search(string=s_true).group()) # ?:pattern , 匹配pattern,但是不把结果保存在group里面 patt = "na(?:me)" re_obj = re.compile(patt) print(re_obj.search(string=s_true),re_obj.search(string=s_true...
compile matcher matches matches Matcher构造匹配 字符x字符x\\反斜线字符\0n带有八进制值 0 的字符n(0 <=n<=\0nn带有八进制值 0 的字符nn(0 <=n<=\0mnn带有八进制值 0 的字符mnn(0 <=m<= 3、0 <=n<=\xhh带有十六进制值 0x 的字符hh\uhhhh带有十六进制值 0x 的字符hhhh\t制表符 ('\u0009...
import re def test_pattern(): pat = re.compile('[0-9]{2,3}') print(pat.match('a')) print(pat.match('1')) print(pat.match('111')) def test_matches(): s = '123abc456def789xyz007ddc' pat = re.compile('([0-9]+)([a-z]+([0-9]+))') for match in pat.finditer(s...
(files_list): pattern = r".*\.cc.tmp$" for key in files_list.keys(): for filename in files_list.get(key): if re.match(pattern, filename.lower()) is not None: file_delete(os.path.join(key, filename)) def check_space(startup_info, cc_image, softwareflag): master_path, ...
(.+)",re.MULTILINE)# 初始化一个字典用于存储解析后的策略信息policies={}# 解析配置文件# 读取配置文件内容,并使用正则表达式提取信息,填充到字典中withopen(config_file_path,'r')asfile:config_text=file.read()# 处理匹配项并填充到字典中matches=match_pattern.finditer(config_text)formatchinmatches:from...
split(r'<regex>', text, maxsplit=0) # Add brackets around regex to keep matches. <Match> = re.search(r'<regex>', text) # First occurrence of the pattern or None. <Match> = re.match(r'<regex>', text) # Searches only at the beginning of the text. <iter> = re.finditer(r'...
If you need to operate on multiple values, then you can write single-purpose functions that return multiple values, then (re)assign those values to variables. Here’s an example: Python def greet(name, counter): # Return multiple values return f"Hi, {name}!", counter + 1 counter = ...
Type: Vec<FilePattern> Example usage: [tool.ruff] exclude = [".venv"] extend A path to a local pyproject.toml file to merge into this configuration. User home directory and environment variables will be expanded. To resolve the current pyproject.toml file, Ruff will first resolve this base...