import numpy
import pandas

numpy.random.seed(0)
index1 = pandas.MultiIndex.from_product(
    [['A'], ['b'], ['one', 'two']],
    names=['City', 'Street', 'House']
)

index2 = pandas.MultiIndex.from_product(
    [['C'], ['three', 'four'], ['d']],
    names=['City', 'House', 'Street']
)

df1 = pandas.DataFrame(
    [['one-c1', 'one-c2'], ['two-c1', 'two-c2']],
    index=index1,
    columns=['c1', 'c2']
)
print(df1)
df2 = pandas.DataFrame(
    [['three-c2', 'three-c1'], ['four-c2', 'four-c1']],
    index=index2,
    columns=['c2', 'c1']
)
print(df2)
print(pandas.concat([df1, df2]))


### the work-around
index_names = df1.index.names
df12 = pandas.concat([df1.reset_index(), df2.reset_index()]).set_index(index_names)