import os
 
# 設(shè)置文件夾路徑
folder_path = 'path/to/your/folder'
 
# 獲取文件夾中的所有文件
files = os.listdir(folder_path)
 
# 過濾出圖片文件（以.jpg結(jié)尾）
image_files = [f for f in files if f.endswith('.jpg')]
 
# 重命名文件
for i, file_name in enumerate(image_files, start=1):
    new_file_name = f'{i}.jpg'
    old_file_path = os.path.join(folder_path, file_name)
    new_file_path = os.path.join(folder_path, new_file_name)
    os.rename(old_file_path, new_file_path)
 
print('文件重命名完成！')

import requests
 
# 設(shè)置目標(biāo)URL
url = 'http://example.com'
 
# 發(fā)起HTTP GET請求
response = requests.get(url)
 
# 檢查請求是否成功
if response.status_code == 200:
    # 獲取網(wǎng)頁內(nèi)容
    web_content = response.text
    
    # 設(shè)置保存路徑和文件名
    save_path = 'path/to/save/file.html'
    
    # 將網(wǎng)頁內(nèi)容寫入文件
    with open(save_path, 'w', encoding='utf-8') as file:
        file.write(web_content)
    
    print('網(wǎng)頁內(nèi)容已保存為文件！')
else:
    print(f'請求失敗，狀態(tài)碼：{response.status_code}')

import schedule
import time
import smtplib
from email.mime.text import MIMEText
 
# 設(shè)置郵件發(fā)送函數(shù)
def send_email():
    # 郵件服務(wù)器設(shè)置
    smtp_server = 'smtp.example.com'
    smtp_port = 587
    sender_email = 'your_email@example.com'
    sender_password = 'your_password'
    
    # 郵件內(nèi)容設(shè)置
    receiver_email = 'receiver_email@example.com'
    subject = '工作提醒'
    body = '今天是XX月XX日，別忘了完成以下工作任務(wù)：...'
    
    # 創(chuàng)建郵件對象
    message = MIMEText(body, 'plain', 'utf-8')
    message['From'] = sender_email
    message['To'] = receiver_email
    message['Subject'] = subject
    
    # 發(fā)送郵件
    with smtplib.SMTP(smtp_server, smtp_port) as server:
        server.starttls()
        server.login(sender_email, sender_password)
        server.sendmail(sender_email, receiver_email, message.as_string())
    
    print('郵件已發(fā)送！')
 
# 設(shè)置定時任務(wù)：每天下午5點發(fā)送郵件
schedule.every().day.at("17:00").do(send_email)
 
# 運(yùn)行定時任務(wù)
while True:
    schedule.run_pending()
    time.sleep(1)

import pandas as pd
 
# 讀取CSV文件
df = pd.read_csv('path/to/your/file.csv')
 
# 查看數(shù)據(jù)
print(df.head())
 
# 刪除缺失值
df_dropna = df.dropna()
 
# 刪除異常值（假設(shè)異常值為小于0或大于100的值）
df_clean = df_dropna[(df_dropna >= 0) & (df_dropna <= 100)]
 
# 保存清洗后的數(shù)據(jù)
df_clean.to_csv('path/to/save/cleaned_file.csv', index=False)
 
print('數(shù)據(jù)清洗完成！')