如何在不修改第一行的情况下使用 Pandas 将 excel 文件转换为 csv 文件？

Question

I am trying to convert multiples excel files into csv files. However, when using the codes below, I am having issues with pandas modifying the values in the first row.

for i in path_list:
     df = pd.read_excel(i) 
     df.to_csv(i[:-5]+".csv", index = None, header=True)

Below is an example of how pandas modifies the first row values.

Excel:
1     1     1     2     2     2
21    32    3     54    6     86

CSV:
1    1.1    1.2    2    2.1    2.2
21   32     3      54   6      86

How can I fix this issue so that the values in the CSV file will be exactly the same as in the excel file.

Answer 1

Looks like your excel has duplicate column names. So when you read excel into df , it appends .1, .2 after all duplicated column names.

You can do this to fix it:

for i in path_list:
     df = pd.read_excel(i)
     df.columns = df.columns.astype(str).str.split('.').str[0] 
     df.to_csv(i[:-5]+".csv", index = None, header=True)

df.columns = df.columns.astype(str).str.split('.').str[0] command will remove .1, .2 from duplicate column names and will keep them the way they were in excel.

The same will be written in your csv also.