text = "This is a sentence. This is another sentence. And this is a third sentence."word_count = 0 for i in range(len(text)): (tab)if text[i:i+8] == "sentence": (2tab)word_count += 1 print(word_count) # 输出：3 在上述示例中，我们使用了find函数来查找固定长度的单词（这里...
Finding a string in a list is a common operation in Python, whether for filtering data, searching for specific items, or analyzing text-based datasets. This tutorial explores various methods, compares their performance, and provides practical examples to help you choose the right approach. You can...
🎁findall()函数的基本语法是：re.findall(pattern, string, flags=0)。其中，pattern是正则表达式的模式和规则，string是要搜索的字符串，flags是标志位，用于控制正则表达式的匹配方式，如是否区分大小写等。📘下面是一个简单的例子，演示了如何使用findall()函数从一个字符串中提取所有的数字：import re text ...
print(list(' string '.rstrip())) print(list(' string '.lstrip())) 1. 2. 3. print(list(' string '.strip('s'))) # 指定的字符是头才能删除 print(list(' string '.strip(' s'))) print(list(' string '.rstrip(' g'))) 1. 2. 3. 8. eval() 尝试把任何字符串转化为Python表达式...
如果我们希望查找包含某些特定字符的标签,例如所有的<p>标签中包含“Python”的内容,可以用正则表达式进行查找: importre python_paragraphs=soup.find_all('p',string=re.compile('Python'))forppinpython_paragraphs:print(pp.text) 1. 2. 3. 4.
We first find the number of words in a string. This requires us to tokenize the string into words. And then use the len() to find the number of words in the string. This is shown below. >>> import nltk >>> string= 'Python has many great modules to use for various...
# print(title[0].get_text()) # print(time[0].string) # print(author[0].get_text() for m in range(0, len(content)): con = content[m].get_text().strip() if (len(con) != 0): fo.writelines("\n" + con) m += 1 ...
alist = soup.find_all('a')#方法一:通过下标获取forainalist: href= a['href']print(href)#方法二: 通过attrs获取forainalist: href= a.attrs['href']print(href) 7、获取所有的职位信息(所有文本信息) string 获取标签下的非标签字符串(值), 返回字符串 ...
match = re.search(pattern, text) print("Found:", match.group()) # 获取匹配的子串 match = re.search(pattern, t…
('a') for link in links: print(link.get('href')) # 查找所有 class 为 'sister' 的标签 sisters = soup.find_all(class_='sister') for sister in sisters: print(sister.text) # 查找包含特定文本的标签 story_paragraphs = soup.find_all(string='Once upon a time') for paragraph in story_...