10个Python自动化办公实用脚本分享(小白入门)

import os

# 指定文件夹路径
folder_path = 'path/to/your/folder'

# 切换到指定目录
os.chdir(folder_path)

# 遍历文件夹中的所有文件
for count, filename in enumerate(os.listdir(folder_path)):
    # 生成新的文件名
    new_name = f"项目_{count + 1}.jpg"
    
    # 重命名文件
    os.rename(filename, new_name)

print("文件重命名完成！")

import smtplib
from email.mime.text import MIMEText

# 邮件内容
subject = "每日工作总结"
body = "今天完成了以下工作：\n- 完成了项目 A\n- 开始了项目 B"

# 发件人和收件人
sender = "your_email@example.com"
receiver = "team_member@example.com"

# 创建邮件
msg = MIMEText(body)
msg['Subject'] = subject
msg['From'] = sender
msg['To'] = receiver

# 发送邮件
with smtplib.SMTP('smtp.example.com', 587) as server:
    server.starttls()
    server.login(sender, 'your_password')
    server.send_message(msg)

print("邮件发送成功！")

import pandas as pd

# 读取 Excel 文件
df = pd.read_excel('sales_data.xlsx')

# 提取销售额超过 1000 的记录
high_sales = df[df['Sales'] > 1000]

# 打印结果
print("销售额超过 1000 的记录:\n", high_sales)

from reportlab.lib.pagesizes import letter
from reportlab.pdfgen import canvas

# 创建 PDF 文件
def generate_pdf(project_name, owner, status):
    c = canvas.Canvas(f"{project_name}_report.pdf", pagesize=letter)
    c.drawString(100, 750, f"项目名称: {project_name}")
    c.drawString(100, 730, f"负责人: {owner}")
    c.drawString(100, 710, f"状态: {status}")
    c.save()

# 生成示例报告
generate_pdf("项目A", "张三", "进行中")
print("PDF 报告生成成功！")

import requests
from bs4 import BeautifulSoup

# 请求网页
url = 'https://news.ycombinator.com/'
response = requests.get(url)

# 解析网页
soup = BeautifulSoup(response.text, 'html.parser')

# 提取新闻标题
titles = [title.get_text() for title in soup.find_all('a', class_='storylink')]

# 打印所有标题
for index, title in enumerate(titles):
    print(f"{index + 1}: {title}")

import schedule
import time

def job():
    print("发送周报邮件...")

# 每天 19:00 执行任务
schedule.every().day.at("19:00").do(job)

while True:
    schedule.run_pending()
    time.sleep(60)  # 等待 1 分钟

import requests

# 图片链接列表
image_urls = [
    'http://example.com/image1.jpg',
    'http://example.com/image2.jpg',
    'http://example.com/image3.jpg']

# 批量下载
for url in image_urls:
    response = requests.get(url)
    with open(url.split('/')[-1], 'wb') as f:
        f.write(response.content)

print("所有图片下载完成！")

import os
import shutil

# 指定下载文件夹路径
downloads_folder = '/path/to/downloads'

# 创建文件类型对应的文件夹
os.makedirs(os.path.join(downloads_folder, 'Images'), exist_ok=True)
os.makedirs(os.path.join(downloads_folder, 'Documents'), exist_ok=True)
os.makedirs(os.path.join(downloads_folder, 'Videos'), exist_ok=True)

# 遍历下载文件夹中的所有文件
for filename in os.listdir(downloads_folder):
    if filename.endswith('.jpg') or filename.endswith('.png'):
shutil.move(os.path.join(downloads_folder, filename), os.path.join(downloads_folder, 'Images', filename))
    elif filename.endswith('.pdf') or filename.endswith('.docx'):
shutil.move(os.path.join(downloads_folder, filename), os.path.join(downloads_folder, 'Documents', filename))
    elif filename.endswith('.mp4'):
shutil.move(os.path.join(downloads_folder, filename), os.path.join(downloads_folder, 'Videos', filename))

print("文件整理完成！")

import matplotlib.pyplot as plt

# 定义销售数据
months = ['Jan', 'Feb', 'Mar', 'Apr', 'May']
sales = [2000, 3000, 4000, 5000, 6000]

# 创建柱状图
plt.bar(months, sales, color='skyblue')
plt.title('每月销售数据')
plt.xlabel('月份')
plt.ylabel('销售额')
plt.show()

import gspread
from oauth2client.service_account import ServiceAccountCredentials

# 使用 OAuth2 认证
scope = ["https://spreadsheets.google.com/feeds", "https://www.googleapis.com/auth/drive"]
creds = ServiceAccountCredentials.from_json_keyfile_name('path/to/credentials.json', scope)
client = gspread.authorize(creds)

# 打开 Google Sheets 文件
sheet = client.open("客户名单").sheet1

# 获取所有数据
data = sheet.get_all_records()

# 打印客户名单
for record in data:
    print(record)