auto save

m.py

+import re
+import requests
+
+url = 'https://v.qq.com/'  # 替换为你想要爬取的网页链接
+
+response = requests.get(url)
+html_content = response.text
+
+# 使用正则表达式提取网页标题
+title_pattern = re.compile(r'<title>(.*?)</title>')
+title = re.search(title_pattern, html_content)
+if title:
+    print(title.group(1))
+
+# 使用正则表达式提取所有段落内容
+paragraph_pattern = re.compile(r'<p>(.*?)</p>')
+paragraphs = re.findall(paragraph_pattern, html_content)
+for paragraph in paragraphs:
+    print(paragraph)
\ No newline at end of file

my_analysis.py

@@ -2,4 +2,7 @@ from pyecharts.charts import Bar
 
 subjects = ["浈浈", "聪聪", "小智", "波奇"]
 scores1 = [92, 95, 82, 88]  # 期中成绩
-scores2 = [95, 79, 93, 90]  # 期末成绩
\ No newline at end of file
+scores2 = [95, 79, 93, 90]  # 期末成绩
+bar=Bar()
+bar.add_xaxis(subjects)
+bar.add_yaxis()
\ No newline at end of file

n.py

+import requests
+from bs4 import BeautifulSoup
+
+def fetch_webpage(url):
+    try:
+        response = requests.get(url)
+        response.raise_for_status()  # 如果请求失败（如404, 500等），将抛出HTTPError异常
+        return response.text
+    except requests.exceptions.RequestException as e:
+        print(f"Error fetching the webpage: {e}")
+        return None
+
+def parse_html(html_content):
+    soup = BeautifulSoup(html_content, 'html.parser')
+    headers = []
+
+    # 提取所有h1, h2, h3, h4, h5, h6标签
+    for header_tag in ['h1', 'h2', 'h3', 'h4', 'h5', 'h6']:
+        headers.extend(soup.find_all(header_tag))
+
+    return headers
+
+def print_headers(headers):
+    for header in headers:
+        print(f"{header.name}: {header.get_text(strip=True)}")
+
+def main():
+    url = 'https://v.qq.com/'  # 替换为你要爬取的网页URL
+    html_content = fetch_webpage(url)
+    if html_content:
+        headers = parse_html(html_content)
+        print_headers(headers)
+
+if __name__ == "__main__":
+    main()