python-批量操作excel

1. 批量新增excel文件

   	import osimport xlwings  as xwapp = xw.App(visible=True,add_book=False)#visible设置为ture的时候会自动打开创建的excel文件，设为为false的时候不会看到excel文件打开了，实际进程占用了....dept_list = ['人事部','财务部','研发部','行政部']path = os.path.abspath(os.path.abspath(os.path.dirname(__file__)))dept_path = os.path.join(path,'excel文件')for dept in dept_list:workbook = app.books.add()workbook.save(f'{dept_path}/部门业绩-{dept}.xlsx')
   

2. 批量打开excel文件

   import os
   import xlwings  as xw
   app = xw.App(visible=True,add_book=False)
   for dir,curdir,files in os.walk(dept_path):if files:for  file in files:file_path = os.path.join(dir,file)if file.endswith('.xlsx'):app.books.open(file_path)
   

3. 批量修改excel文件工作表名

    import osimport xlwings  as xwapp = xw.App(visible=False,add_book=False)path = os.path.abspath(os.path.abspath(os.path.dirname(__file__)))dept_path = os.path.join(path,'excel文件')#批量修改  【部门业绩-行政部.xlsx  】 这个文件的工作表名workbook =app.books.open(f'{dept_path}\部门业绩-行政部.xlsx')for sheet in workbook.sheets:sheet.name = sheet.name.replace('Sheet','部门')workbook.save()app.quit()
   

4.合并相似excel文件内容到一个excel（只会合并每个excel第一个sheet页的内容）

	import pandas as pddata_list = []for dir,curdir,files in os.walk(dept_path):if files:for  file in files:file_path = os.path.join(dir,file)if file.endswith('.xlsx') and file.startswith('部门业绩-'):data_list.append(pd.read_excel(file_path))data_all = pd.concat(data_list)data_all.to_excel('部门业绩.xlsx')

5. 合并一个excel文件多个sheet页内容到第一个sheet页中

   
   import pandas as pd
   import xlwings as xw
   file = f'{dept_path}\部门业绩-行政部.xlsx'
   df_list = pd.read_excel(file,sheet_name=None)
   df_all = pd.concat(df_list.values())
   app=xw.App(visible=False,add_book=False)
   workbook = app.books.open(file)
   workbook.sheets.add('汇总表',before=workbook.sheets[0])
   workbook.sheets['汇总表'].range('A1').options(index=False).value=df_all
   workbook.save()
   workbook.close()
   app.quit()
   

6. 拆分excel表（按照某个分类拆分成不同的excel表）

   import pandas as pd
   file = f'{dept_path}\产品表.xlsx'
   df= pd.read_excel(file)
   products = df['产品类型'].unique()  #去重获取产品类型这一列所有产品for product in products:df_product = df[df['产品类型']==product]df_product.to_excel(f'{dept_path}\产品表-{product}.xlsx')
   

7. 拆分excel表（按照某个分类拆分成不同的sheet页）

   import pandas as pd
   file = f'{dept_path}\采购表.xlsx'
   #读取所有sheet页
   df_list= pd.read_excel(file,sheet_name=None,parse_dates=False)
   #合并成一个大数据表
   df_all = pd.concat(df_list.values())file2 = f'{dept_path}\采购表-按产品类分.xlsx'
   excel_writer = pd.ExcelWriter(file2,date_format='YYYY-MM-DD')
   for product,df in df_all.groupby('产品类型'):df.to_excel(excel_writer,product,index=False)
   excel_writer.save()

8. 比较2个excel文件内容

   import os
   import xlwings  as xwapp = xw.App(visible=False,add_book=False)
   file = f'{dept_path}\产品表.xlsx'
   file_back = f'{dept_path}\产品表-备份.xlsx'
   book = app.books.open(file)
   book_backup = app.books.open(file_back)for row in book.sheets[0].range('A1').expand():for cell in row:backup_cell = book_backup.sheets[0].range(cell.address)if cell.value != backup_cell.value:cell.color = backup_cell.color = (255,0,0)
   book.save()
   book.close()
   book_backup.save()
   book_backup.close()
   app.quit()