使用 Python 使用 openpyxl 将文本转换为 Excel 中的列

Question

I am trying to do the "text-to-columns" feature from Excel through Python using openpyxl. The file I have is currently saved as a .xlsx. I cannot use the split() feature because my data is numbers not words. I have tried pandas but it does not work. I ran into the problem of having to download xldr but I cannot because I am using an older version of python due to a sdk I need. Is there a way to do text-to-columns in python using openpyxl when the data is numbers? I am using Python version 2.7.18.

I would like to open the file from my directory, grab the column that all the data's in (not by name but by cell [ex. cell A]), delimit the number data by semicolons, then save the file.

Here is the Data file: Excel Data

Here is the code I have:

text-to-column Code picture

text-to-column Code doc

Thank you!

Answer 1

I am not entirely sure what you are trying to do. But, based on the code and the heading, my understanding is that you want to read ALL files in a particular directory (all files in that folder should be excel and should have ; separated single column of data in column A), convert the text to column and then write back to the same file.

So, below code will do this:

1. Go to a specified directory ('C:\Users\potomis1\PycharmProjects\MUSE2022`)
2. Read all files there into excelFiles array
3. Read each file into dataframe, split the single column to multiple columns based on ;
4. Write back to the same file
5. This is looped through for each file in directory

import openpyxl
import os
import sys
import pandas as pd

# Main
if __name__ == "__main__":
    # This is the FOLDER where all your excel files are...
    # Two back slashes as backslash is escape character
    filePath = 'C:\\Users\\potomis1\\PycharmProjects\\MUSE2022\\'

    # Go inside the folder
    os.chdir(filePath)

    # Get the list of Excel files inside the folder
    excelFiles = os.listdir('.')
    # For each Excel file
    for i in range(0, len(excelFiles)):
        df = pd.read_excel(excelFiles[i], header=None)
        # Code to separate data
        df = df[0].str.split(';',expand=True)
        # Save and close the workbook
        df.to_excel(excelFiles[i], header=None, index=False)
        print(excelFiles[i] + ' sorted.')

    # Code finishes, close the program - NOT REQUIRED
#    sys.exit()

Update using openpyxl instead of read_excel

import openpyxl
from openpyxl.utils.dataframe import dataframe_to_rows
import os
import sys
import pandas as pd


# Main
if __name__ == "__main__":
    # ??? Two back slashes as backslash is escape character
    filePath = 'C:\\Users\\potomis1\\PycharmProjects\\MUSE2022\\'

    # Go inside the folder
    os.chdir(filePath)

    # Get the list of Excel files inside the folder
    excelFiles = os.listdir('.')
    print('ExcelFiles ', excelFiles)
    # For each Excel file
    for i in range(0, len(excelFiles)):
        # Code to separate data
        Work_Book = openpyxl.load_workbook(filename=excelFiles[i])
        Work_Sheet = Work_Book.active
        df = pd.DataFrame(list(Work_Sheet.values))
        df = df[0].str.split(';',expand=True)

        # Save and close the workbook
        rows = dataframe_to_rows(df, index=False, header=None)

        for r_idx, row in enumerate(rows, 1):
            for c_idx, value in enumerate(row, 1):
                Work_Sheet.cell(row=r_idx, column=c_idx, value=value)
        Work_Book.save(filename=excelFiles[i])    
        print(excelFiles[i] + ' sorted.')