如果你的意思是链接,那么你可以用Regex这个语法 "(https://.+)" for example: import reresult = re.findall(r" '(https://.+)' ", the_string_to_extract_from) 要提取它有两个条件: 链接的开头是https:// 链接包含在“” 您可能需要提供有关此问题的更多信息。 Python:从文本中提取字符串 我不明...
>>>从lxml导入html>>>mytree=html。fromstring('这是正文。它必须足够长才能绕过安全检查。Lorem ipsum dolor sat amet, consectetur adipiscing elit, sed do eiusmod tempor incidundunt ut Labore et dolore magna aliqua。')>>>extract(mytree)'这是正文。它必须足够长才能绕过安全检查。Lorem ipsum dolor s...
>>>从lxml导入html>>>mytree=html。fromstring('这是正文。它必须足够长才能绕过安全检查。Lorem ipsum dolor sat amet, consectetur adipiscing elit, sed do eiusmod tempor incidundunt ut Labore et dolore magna aliqua。')>>>extract(mytree)'这是正文。它必须足够长才能绕过安全检查。Lorem ipsum dolor s...
text = """Q 1wording of question 1eventually on many linesQ 2wording of question 2Q 3wording of question 3Q 4wording of question 4"""import redef extract_questions(text): q_list = re.findall(r'^Q +\d.*(?:\n(?!Q \d).*)*', text, re.M) return q_listextract_questions(text...
text = "Python is a powerful programming language." # 分割字符串 words = text.split() print("Words:", words) # 查找子串 substring = "powerful" if substring in text: print(f"'{substring}' found in the text.") # 替换文本 new_text = text.replace("Python", "Ruby") ...
pdfFile=open('./input/Political Uncertainty and Corporate Investment Cycles.pdf','rb')pdfObj=PyPDF2.PdfFileReader(pdfFile)page_count=pdfObj.getNumPages()print(page_count)#提取文本forpinrange(0,page_count):text=pdfObj.getPage(p)print(text.extractText())''' ...
text = extract_text(image, box) # 使用提取的文本作为文件名保存图像 image.save(extracted_text ...
findall(url_pattern, text) text_with_urls = "Visit us at https://www.example.com or http://www.example.net" urls = extract_urls(text_with_urls) for url in urls: print(url) 3.3.3 手机号码与身份证号识别 # 国内手机号码验证 mobile_pattern = r'^1[3-9]\d{9}$' phone = "...
所以我们只需要在列表中存储电话号码的数字部分即可,然后将每次遍历得到的结果存储到列表中: for循环提取特定的电话号码: for grops in telRegex.findall(text):...,就可以提取到特定的电话号码和电子邮箱了!...marches.append(grops) pyperclip.copy('\n'.join(marches)) print('\n'.join(marches)) 程序不...
```# Python script for web scraping to extract data from a websiteimport requestsfrom bs4 import BeautifulSoupdef scrape_data(url):response = requests.get(url)soup = BeautifulSoup(response.text, 'html.parser')# Your code here t...