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问题是：我想从多个不同的 excell(.xlsx) 填充中获取特定的 ccolumns 并将所有这些保存在不同的 Excel 表格中。我可以在终端中使用 DataFrame，但只能将最后加载的 .xlsx 保存在我的 Excel 中-床单。我做错了什么？如何解决这个问题？pandas 对这个常见问题有一个简单的命令吗？我尝试了许多来自“stackoverflow”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()
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1 回答 1

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所以这会起作用。我制作了一些名为“起始位置”的列 B 的虚拟文件，但我认为您应该能够轻松地将其更改为文件名/列。

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()
于 2020-08-21T15:17:29.533 回答