Python处理办公自动化的10大场景

import xlwings as xw
wb = xw.Book()  # this will create a new workbook
wb = xw.Book('FileName.xlsx')  # connect to a file that is open or in the current working directory
wb = xw.Book(r'C:\path\to\file.xlsx')  # on Windows: use raw strings to escape backslashes

import matplotlib.pyplot as plt
import xlwings as xw

fig = plt.figure()
plt.plot([1, 2, 3])

sheet = xw.Book().sheets[0]
sheet.pictures.add(fig, name='MyPlot', update=True)

import PyPDF2

pdfFile = open('example.pdf','rb')
pdfReader = PyPDF2.PdfFileReader(pdfFile)
print(pdfReader.numPages)
page = pdfReader.getPage(0)
print(page.extractText())
pdfFile.close()

# 提取pdf表格
import pdfplumber
with pdfplumber.open("example.pdf") as pdf:
    page01 = pdf.pages[0] #指定页码
    table1 = page01.extract_table()#提取单个表格
    # table2 = page01.extract_tables()#提取多个表格
    print(table1)

import smtplib
import email

# 负责将多个对象集合起来
from email.mime.multipart import MIMEMultipart
from email.header import Header

# SMTP服务器,这里使用163邮箱
mail_host = "smtp.163.com"
# 发件人邮箱
mail_sender = "******@163.com"
# 邮箱授权码,注意这里不是邮箱密码,如何获取邮箱授权码,请看本文最后教程
mail_license = "********"
# 收件人邮箱，可以为多个收件人
mail_receivers = ["******@qq.com","******@outlook.com"]

mm = MIMEMultipart('related')
# 邮件正文内容
body_content = """你好，这是一个测试邮件！"""
# 构造文本,参数1：正文内容，参数2：文本格式，参数3：编码方式
message_text = MIMEText(body_content,"plain","utf-8")
# 向MIMEMultipart对象中添加文本对象
mm.attach(message_text)

# 创建SMTP对象
stp = smtplib.SMTP()
# 设置发件人邮箱的域名和端口，端口地址为25
stp.connect(mail_host, 25)  
# set_debuglevel(1)可以打印出和SMTP服务器交互的所有信息
stp.set_debuglevel(1)
# 登录邮箱，传递参数1：邮箱地址，参数2：邮箱授权码
stp.login(mail_sender,mail_license)
# 发送邮件，传递参数1：发件人邮箱地址，参数2：收件人邮箱地址，参数3：把邮件内容格式改为str
stp.sendmail(mail_sender, mail_receivers, mm.as_string())
print("邮件发送成功")
# 关闭SMTP对象
stp.quit()

import pymysql

# 打开数据库连接
db = pymysql.connect(host='localhost',
                     user='testuser',
                     password='test123',
                     database='TESTDB') 
# 使用 cursor() 方法创建一个游标对象 cursor
cursor = db.cursor()
# 使用 execute()  方法执行 SQL 查询 
cursor.execute("SELECT VERSION()")
# 使用 fetchone() 方法获取单条数据.
data = cursor.fetchone()
print ("Database version : %s " % data)
# 关闭数据库连接
db.close()

import os,shutil
import sys
import numpy as np

def arrange_file(dir_path0):
  for dirpath,dirnames,filenames in os.walk(dir_path0):
    if 'my_result' in dirpath:
      # print(dirpath)
      shutil.rmtree(dirpath)

import os

def file_rename():
    path = input("请输入你需要修改的目录(格式如'F:\\test')：")
    old_suffix = input('请输入你需要修改的后缀（需要加点.）：')
    new_suffix = input('请输入你要改成的后缀（需要加点.）：')
    file_list = os.listdir(path)
    for file in file_list:
        old_dir = os.path.join(path, file)
        print('当前文件：', file)
        if os.path.isdir(old_dir):
            continue
        if old_suffix != os.path.splitext(file)[1]:
            continue
        filename = os.path.splitext(file)[0]
        new_dir = os.path.join(path, filename + new_suffix)
        os.rename(old_dir, new_dir)

if __name__ == '__main__':
    file_rename()

# 获取鼠标位置
import pyautogui as pg

try:
    while True:
        x, y = pg.position()
        print(str(x) + " " + str(y))  #输出鼠标位置

        if 1746 < x < 1800 and 2 < y < 33:
            pg.click()#左键单击
        if 1200 < x < 1270 and 600 < y < 620:
            pg.click(button='right')#右键单击
        if 1646 < x < 1700 and 2 < y < 33:
            pg.doubleClick()#左键双击

except KeyboardInterrupt:
    print("\n")

import pyautogui
#typewrite()无法输入中文内容，中英文混合的只能输入英文
#interval设置文本输入速度，默认值为0
pyautogui.typewrite('你好，world!',interval=0.5)

import zipfile
try:
  with zipfile.ZipFile("c://test.zip",mode="w") as f:
    f.write("c://test.txt")          #写入压缩文件，会把压缩文件中的原有覆盖
except Exception as e:
    print("异常对象的类型是:%s"%type(e))
    print("异常对象的内容是:%s"%e)
finally:
    f.close()

import zipfile
try:
  with zipfile.ZipFile("c://test.zip",mode="a") as f:
     f.extractall("c://",pwd=b"root") ##将文件解压到指定目录，解压密码为root
except Exception as e:
     print("异常对象的类型是:%s"%type(e))
     print("异常对象的内容是:%s"%e)
finally:
     f.close()

# 导入urlopen
from urllib.request import urlopen
# 导入BeautifulSoup
from bs4 import BeautifulSoup as bf
# 导入urlretrieve函数，用于下载图片
from urllib.request import urlretrieve
# 请求获取HTML
html = urlopen("http://www.baidu.com/")
# 用BeautifulSoup解析html
obj = bf(html.read(),'html.parser')
# 从标签head、title里提取标题
title = obj.head.title
# 只提取logo图片的信息
logo_pic_info = obj.find_all('img',class_="index-logo-src")
# 提取logo图片的链接
logo_url = "https:"+logo_pic_info[0]['src']
# 使用urlretrieve下载图片
urlretrieve(logo_url, 'logo.png')

from PIL import Image
from PIL import ImageEnhance

img_main = Image.open(u'E:/login1.png')
img_main = img_main.convert('L')
threshold1 = 138
table1 = []
for i in range(256):
  if i < threshold1:
    table1.append(0)
  else:
    table1.append(1)
img_main = img_main.point(table1, "1")
img_main.save(u'E:/login3.png')

import numpy as np
import matplotlib.pyplot as plt

N = 5
menMeans = (20, 35, 30, 35, 27)
womenMeans = (25, 32, 34, 20, 25)
menStd = (2, 3, 4, 1, 2)
womenStd = (3, 5, 2, 3, 3)
ind = np.arange(N)    # the x locations for the groups
width = 0.35       # the width of the bars: can also be len(x) sequence

p1 = plt.bar(ind, menMeans, width, yerr=menStd)
p2 = plt.bar(ind, womenMeans, width,
             bottom=menMeans, yerr=womenStd)

plt.ylabel('Scores')
plt.title('Scores by group and gender')
plt.xticks(ind, ('G1', 'G2', 'G3', 'G4', 'G5'))
plt.yticks(np.arange(0, 81, 10))
plt.legend((p1[0], p2[0]), ('Men', 'Women'))

plt.show()