您的“string”不是一个实际包含字节的字符串(b'…'),因此您可能应该根据所使用的编码进行解码(我在这里假设utf-8)。 然后我还假设您希望提取引号之间的字符串,因此我建议使用带有lookarounds的正则表达式: import reout = re.findall(r'(?<=")[a-fA-F\d]+(?=")', mystring.decode('utf-8'))if ...
AI代码解释 library("stringr")pattern<-"(\\d{1,})([\\u4e00-\\u9fa5]{1,})"mylist<-data.frame(ID=mylist%>%str_extract_all(pattern)%>%do.call(rbind,.)%>%.[,1]%>%str_extract("\\d{1,}"),City=mylist%>%str_extract_all(pattern)%>%do.call(rbind,.)%>%.[,1]%>%str_ex...
下面是一个使用正则表达式提取浮点型数据的示例代码: importredefextract_float_from_string(string):pattern=r'\d+\.\d+'match=re.search(pattern,string)ifmatch:returnfloat(match.group())else:returnNone# 示例用法string="The temperature is 25.8 degrees Celsius."temperature=extract_float_from_string(string...
match(pattern, email)) email = "example@example.com" if validate_email(email): print("Valid email address") else: print("Invalid email address") 3.3.2 提取URL链接 def extract_urls(text): url_pattern = r'http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\\(\\),]|(?:%[0...
最后,我们调用extract_between_pattern函数,并将文本字符串和正则表达式模式作为参数传递给它。函数将返回提取到的字符串,并将其打印出来。 这是一个简单的示例,演示了如何使用正则表达式提取between模式中的字符串。在实际应用中,可以根据具体的需求和模式来调整正则表达式的匹配规则。
importredefextract_string_from_brackets(text):pattern=r"\((.*?)\)"# 匹配圆括号中的内容result=re.findall(pattern,text)returnresult text="这是一个(示例)字符串"result=extract_string_from_brackets(text)print(result)# 输出:['示例'] 1. ...
fill_string.append(f"{f}") ws[f"B{i}"] = '\n'.join(fill_string) wb.save("...
pattern =r'x: new Date\((\d+), (\d+), (\d+)\),\s+y: ([\d.]+)'matches = re.findall(pattern, script_text)formatchinmatches: x_year, x_month, x_day, y_value = match date_str =f"{x_year}-{x_month}-{x_day}"data.append([date_str,float(y_value)])# 写入CSV文件wi...
re.sub()Uses regular expressions to replace occurrences of a pattern with a stringSingle and multiple charactersModerateModerateModerateFlexible and powerful, suitable for complex patterns translate()Uses a translation table to map characters to other characters or NoneMultiple character removalSlowestFastest...
A versatile routine that would extract numbers from any textual string and recognize both integer and floating point values can be implemented via regular expressions. The following regular expression pattern would match positive or negative integer numbers, as well as floating-point numbers both in ge...