如何使用 Pandas 更新多个 excel 文件并保存更新后的文件而不合并它们

Question

I have multiple excel files containing several sheets. I need to remove some specific columns from a particular sheet. I need to do the same for all the files. After that I need to save all those edited files without combinig them. I have done the same for one file, I need a macro so that I can apply for all the files. I have prepared the code for one file:

import os
import pandas as pd

from openpyxl import load_workbook
book = load_workbook('file1.xlsx')
sheet = book['sheet1']
#the update needed is to delete some columns
sheet.delete.cols(3,5)    
book.save('file1_copy.xlsx')

Answer 1

as you've already written the code, all that is left is to iterate over your files and apply it one by one.

I would do this as follows:

from openpyxl import load_workbook
from pathlib import Path

excel_files = Path('excel_file_location').glob('*.xlsx')

for file in excel_files:
   book = load_workbook(file)
   sheet = book['sheet1']
   #the update needed is to delete some columns
   sheet.delete.cols(3,5)    
   # save in same location with the _copy suffix attached. 
   # /home/file/excel_1.xlsx -> /home/file/excel_1_copy.xlsx 
   book.save(f"{file.parent}{file.stem}_copy{file.suffix}")

Answer 2

You can use a list with all the files and then loop over that list. That will run the code in the for loop for each item in the list. You'll also have to have the code adjust the new save name.

So you'd have something like

from openpyxl import load_workbook
books = ['file1.xlsx', 'file2.xlsx', 'file3.xlsx',...]
for book in books:
    sheet = book['sheet1']
    sheet.delete.cols(3,5)
    savename = book.split('.')[0] + '_copy.' + book.split('.')[-1]
    book.save(savename)