我在试着弄到这个
但我明白了:
即使没有内容,我也得到了一个垂直多指标。这是我正在做的事
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()
编辑:
我已经用transpose()实现了一个解决方法,但是我想知道是否有一个正式的方法来解决这个问题:
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()
摘自我的编辑
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