Python 向列添加多索引

我正在尝试将多个文件连接在一起并输出到excel文件。我的计划是将数据读入数据框，执行一些计算，然后将数据写入excel工作表。我想在我的数据框中添加第二个标签，指示它来自的文件。我相信多索引是一条路要走，但我不确定如何添加

当前数据帧的示例：

    readout    readout
0    1.098      4.514
1    3.185      2.124 
2    0.938      0.369
3    5.283      7.840

    file_1     file_2
    readout    readout
0    1.098      4.514
1    3.185      2.124 
2    0.938      0.369
3    5.283      7.840

预期数据帧的示例：

    readout    readout
0    1.098      4.514
1    3.185      2.124 
2    0.938      0.369
3    5.283      7.840

    file_1     file_2
    readout    readout
0    1.098      4.514
1    3.185      2.124 
2    0.938      0.369
3    5.283      7.840

这是我目前使用的代码

# import excel sheet into dataframe
well_reads = pd.read_excel('File.xls', header=0)

# pull positive control and negative control samples into new dataframe
positive_control = well_reads[well_reads['Well'].str.contains('01')]
negative_control = well_reads[well_reads['Well'].str.contains('12')]

# drop postive control and negative control rows from initial dataframe
positive_control_wells = well_reads[well_reads['Well'].str.contains('01')]
index = positive_control_wells.index
well_reads = well_reads.drop(well_reads.index[index])
well_reads = well_reads.reset_index(drop=True)

negative_control_wells = well_reads[well_reads['Well'].str.contains('12')]
index = negative_control_wells.index
well_reads = well_reads.drop(well_reads.index[index])
well_reads = well_reads.reset_index(drop=True)

# Create data frame just containing reads and well id
neutralization_data = well_reads[['CPS (CPS)', 'Well']]

# set index to well id
neutralization_data = neutralization_data.set_index(['Well'])

# identify the geometric mean of the plate
geomean = scipy.stats.gmean(well_reads['CPS (CPS)'])

# identify the IC50 of the plate
IC_50 = geomean/2

# identify the IC80 of the plate
IC_80 = geomean * 0.2


# create a pandas excel writer using xlsxwriter as the engine
writer = pd.ExcelWriter('neutralization data.xlsx', engine='xlsxwriter')

# convert the dataframe to an xlsxwriter excel object
neutralization_data.to_excel(writer, sheet_name='Neutralization Data', startrow=1)

# close the pandas excel writer and output the file
writer.save()

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正如您所说，在编写输出之前，添加多索引列将解决您的问题：

df=pd.DataFrame({0:[1.098,3.185,0.938, 5.283],1:[4.514,2.124,0.369, 7.840]})
df.columns=pd.MultiIndex.from_tuples([('file1','readout'),('file2','readout')])

给予

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正如您所说，在编写输出之前，添加多索引列将解决您的问题：

df=pd.DataFrame({0:[1.098,3.185,0.938, 5.283],1:[4.514,2.124,0.369, 7.840]})
df.columns=pd.MultiIndex.from_tuples([('file1','readout'),('file2','readout')])

给予

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嗨，Morgan，你能添加你当前用来写文件的代码吗？另一种方法是将所有文件名保存到一个列表中，然后重新打开excel文件并将每个名称写入相应的单元格，但我试图一次完成。嗨，Morgan，您可以添加当前用于写入文件的代码吗？另一种方法是将所有文件名保存到列表中，然后重新打开excel文件并将每个文件名写入相应的单元格，但我尝试一次性获取所有文件名。谢谢！很好用，谢谢！工作完美。