为什么追加不起作用?如何在一个新的 excel Sheet 中获取 excel 中的特定列

Why append dont work? how take specific columns from excel in one new excel Sheet

问题是: 我想从多个不同的 excell(.xlsx) filles、特定的 ccolumns 中获取并将所有这些保存在不同的 excell-Sheet.. 我可以在我的终端中获取 DataFrame,但只将最后加载的 .xlsx 保存在我的 excell-sheet 中。 我做错了什么?如何解决这个问题? pandas 有解决这个常见问题的简单命令吗? 我尝试了很多来自“Whosebug”的解决方案,但我找不到正确的方法..

    import pandas as pd
    import numpy as np
    
    df_col=pd.DataFrame()
    
    print(df_col)
    
    i=0
    while i<len(files):
        # Import the excel file and call it xls_file
        xls_file = pd.ExcelFile(files[i])
        # Load the xls file's Sheet1 as a dataframe
        df = xls_file.parse()
        need_df = pd.read_excel(files[i], usecols=list_col_pros) 
        ########################################################
        # Create a Pandas Excel writer using XlsxWriter as the engine.
        df_col.append(need_df)
        ##########################################################
        # Returns column with label col as Series
        print(need_df)
        
        i=i+1
    
    ##########################
    
    
    print(df_col)
    writer = pd.ExcelWriter('all_pros.xlsx', engine='xlsxwriter')
    
    # Write each dataframe to a different worksheet.
    df_col.to_excel(writer, sheet_name='Sheet')
    # Close the Pandas Excel writer and output the Excel file.
    writer.save()

所以这行得通。我制作了一些 B 列标题为“起始位置”的虚拟文件 但我认为您应该能够轻松地将其更改为您的 filenames/columns。

import pandas as pd
import numpy as np

df_col=pd.DataFrame()

print(df_col)
files = ["1.xlsx","2.xlsx","3.xlsx"]
i=0
while i<len(files):
    # Import the excel file and call it xls_file
#   xls_file = pd.ExcelFile(files[i])
    # Load the xls file's Sheet1 as a dataframe
#   df = xls_file.parse()
    need_df = pd.read_excel(files[i], usecols="B") 
    ########################################################
    # Create a Pandas Excel writer using XlsxWriter as the engine.
    df_col[files[i]] = need_df['First Position'].values
    ##########################################################
    # Returns column with label col as Series
    print(need_df)
    
    i=i+1

##########################


print(df_col)
writer = pd.ExcelWriter('all_pros.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df_col.to_excel(writer, sheet_name='Sheet')
# Close the Pandas Excel writer and output the Excel file.
writer.save()