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funky pandas concat
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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) |
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