Pandas Datenrahmen mit multindex auszuzeichnen

Question

Ich versuche, diese

zu bekommen, aber ich bin immer dies:

Auch ohne Inhalt, ich bin immer ein vertikaler Multindex. Dies ist ein MWE von dem, was ich tue

from pandas import DataFrame, MultiIndex, ExcelWriter, Series 
import numpy.random as rd 

FILENAME = 'SampleFile.xlsx' 
writer = ExcelWriter(FILENAME, engine='xlsxwriter') 
multindex_headers = [['A', 'B', 'C', 'D'], 
        ['A1', 'B2','C3', 'D4']] 

index = MultiIndex.from_tuples(list(zip(*multindex_headers)), names=['l1','l2']) 
sampleDF = DataFrame(index=index) 
sample_info = [rd.randn(4).tolist()]*5 

for sample_data in sample_info: 
    sampleDF = sampleDF.append(DataFrame(sample_data, index=index)) 

sampleDF.to_excel(writer, sheet_name='case') 
writer.save() 

EDIT:

ich eine Abhilfe mit transponiert implementiert habe(), aber ich würde gerne wissen, ob es ein formaler Ansatz dazu ist Frage:

from pandas import DataFrame, MultiIndex, ExcelWriter, Series 
import numpy.random as rd 

FILENAME = 'SampleFile.xlsx' 
writer = ExcelWriter(FILENAME, engine='xlsxwriter') 
multindex_headers = [['A', 'B', 'C', 'D'], 
        ['A1', 'B2','C3', 'D4']] 

index = MultiIndex.from_tuples(list(zip(*multindex_headers))) 
sampleDF = DataFrame(index=index) 
sampleDF = sampleDF.transpose() 
sample_info = [rd.randn(4).tolist()]*5 

for sample_data in sample_info: 
    sampleDF = sampleDF.append(DataFrame(sample_data, index=index).transpose()) 

#sampleDF.to_csv('samplecsv.csv') 
sampleDF.to_excel(writer, sheet_name='case') 
writer.save() 

Answer 1

from pandas import DataFrame, MultiIndex, ExcelWriter, Series 
import numpy.random as rd 

FILENAME = 'SampleFile.xlsx' 
writer = ExcelWriter(FILENAME, engine='xlsxwriter') 
multindex_headers = [['A', 'B', 'C', 'D'], 
        ['A1', 'B2','C3', 'D4']] 

index = MultiIndex.from_tuples(list(zip(*multindex_headers))) 
sampleDF = DataFrame(index=index) 
sampleDF = sampleDF.transpose() 
sample_info = [rd.randn(4).tolist()]*5 

for sample_data in sample_info: 
    sampleDF = sampleDF.append(DataFrame(sample_data, index=index).transpose()) 

#sampleDF.to_csv('samplecsv.csv') 
sampleDF.to_excel(writer, sheet_name='case') 
writer.save() 

von meinem bearbeiten Genommen