importredefcontains_chinese(s):pattern=re.compile(r'[\u4e00-\u9fff]')ifre.search(pattern,s):returnTruereturnFalse# 测试代码test_str1="这是一个中文字符串"test_str2="This is an English string"print(contains_chinese(test_str1))# 输出:Trueprint(contains_chinese(test_str2))# 输出:False 1....
title.string print(title) # 输出: 示例网站 9.3 案例3:正则表达式在日志分析中的应用 日志文件中,我们可能需要提取特定模式的信息: import re log_file = open("app.log", "r") error_pattern = re.compile(r"ERROR:\s*(.*)") for line in log_file: match = error_pattern.search(line) if matc...
还有一种是,如果encode(‘gbk’),但是文件头# -*- coding:utf-8 -*-输出也会乱码。输出时不能使用print(pattern.encode(‘utf-8’), group.encode(‘utf-8’)),而应该分开print,否则还是乱码但是不报错。 标准输出的定义如下: sys.stdout = codecs.getwriter(“utf-8”)(sys.stdout.detach()) 查看输出...
pattern.sub('',text) Python 中的反斜杠 \ 如何使用正则表达式匹配? 方式1:使用四个反 方式2:正则表达式使用 r 声明,然后两个反斜杠 参考代码: # 注意,python中\a\b都有特殊含义,使用\\转义 lll = "c:\\a\\b\\c" ret = re.match('c:\\\a', lll) printret.group()) print(*...
raw_X = (token_features(tok, pos_tagger(tok)) for tok in corpus) 1. 并通过以下方式传给哈希器: hasher = FeatureHasher(input_type='string') X = hasher.transform(raw_X) 1. 2. 得到一个scipy.sparse 类的矩阵X 。 这里需要注意的是,由于我们使用了Python的生成器,导致在特征抽取过程中引入了...
protectedResource ='http://localhost/secured_path'foundPass =Falseforuserinusers:iffoundPass:breakforpasswdinpasswords: encoded = base64.encodestring(user+':'+passwd) response = requests.get(protectedResource, auth=(user,passwd))ifresponse.status_code !=401:print('User Found!')print('User: %s...
However, if we only have the HTML snippet, fear not! It's not much trickier than catching a well-fed cat napping. We can simply specify the HTML tag in our expression and use a capturing group for the text: importre html_content ='Price : 19.99$'pattern =r'Price\s*:\s*(\d+\....
re.match('sentence',string)#该方法必须被查询语句的首字母就为查询字段,此时才会有相应结果的返回 替换:sub(pattern, repl, string) 删除:将repl的参数换为空 ‘’ 使用正则表达式查找网页内容中的title内容: import requests import chardet import re ...
chardet string='你好啊小伙子' if isinstance(string,unicode): pass else: encoding = chardet.detect(string) u_string = string.decode(encoding['encoding']) if u_string in u'[\u4e00-\u9fa5]': print '存在中文' 或者这么写: = re.search(u'[\u4e00-\u9fa5]', u_string) 判断result是否...
Substrings aren’t our only problem. We also have to deal with differences in string construction. Here is an extremely common pattern, where one seller constructs strings as “<HOME_TEAM> vs <AWAY_TEAM>” and another constructs strings as “<AWAY_TEAM> vs <HOME_TEAM>” ...