转换为 csv 时在文本列中保留输入空格

Question

我在 excel 中有数据，其中文本在最后一列中输入空格。这是我的数据示例：

如果我使用 python 转换为 csv，我的数据如下所示：

我需要的 TEXT 列将是这样的：

这是我的脚本：

import pandas as pd
import os
import numpy as np


WD = r'XXX'
os.chdir(WD) 

for file in os.listdir(WD):
    if file.endswith('.xlsx'):
        FILE = file

        sheet_names = pd.ExcelFile(FILE).sheet_names  

        for sn in sheet_names:
            OUTPUT_FILE = '{}_{}'.format(sn,FILE.replace('.xlsx','.csv'))
            df = pd.read_excel(FILE,)
            print(FILE, sn)

            for col in df.columns.to_list():
                df[col] = df[col].map({True: '', False: ''}).fillna(df[col])


                cn = ['IN', 'NAME', 'TEXT']
                df = df.reindex(columns = cn)

                df.to_csv(OUTPUT_FILE,sep='|',encoding='utf-8-sig',index=False)

你有什么主意吗？

Answer 1

我希望这适用于您的解决方案，

Excel 到 csv：

import pandas as pd
df = pd.read_excel('./keep_enter.xlsx')
def replace_custom_func(x):
    new_str = ''
    if len(x) > 0:
        for i in x.split('
'):
            new_str += f'"{i}"&CHAR(10)&'
        return "=" + new_str[:-10]
    else:
        return x
df['Text'] = df['Text'].apply(lambda x: replace_custom_func(x))
df.to_csv('keep_enter1.csv', sep='|', index=False)

CSV 到 Excel：

df = pd.read_csv('./keep_enter1.csv', sep='|')
writer = pd.ExcelWriter('new_excel_replace12345.xlsx', engine='xlsxwriter')

# # Convert the dataframe to an XlsxWriter Excel object.
df.to_excel(writer, sheet_name='Sheet1', index=False)

# # Get the xlsxwriter workbook and worksheet objects.
workbook  = writer.book
worksheet = writer.sheets['Sheet1']
format = workbook.add_format({'text_wrap': True})
worksheet.set_column('C:D', None, format)
worksheet.write_formula(1, 2, df['Text'][0])
# # Close the Pandas Excel writer and output the Excel file.
writer.save()

输出：