如何将单行、它自己的索引和非堆叠的多索引数据帧组合在一起？

import pandas as pd

data = {'Column1': [value1],
        'Column2': [value2],
        'Column3': [value3]}
df_single_row = pd.DataFrame(data)

import pandas as pd

index = pd.MultiIndex.from_tuples([(index1), (index2), (index3)], names=['Index1', 'Index2', 'Index3'])
data = {'Column1': [value1, value4, value7],
        'Column2': [value2, value5, value8],
        'Column3': [value3, value6, value9]}
df_multi_index = pd.DataFrame(data, index=index)

import pandas as pd

df_combined = pd.concat([df_single_row, df_multi_index], axis=0, ignore_index=True)