Do single-row dataframes (not series) get special treatment in some way? It seems you can do arbitrary groupby operations on them on non-existent columns without errors.
df1 = pd.DataFrame(np.random.randn(1,4), columns=list('ABCD'))
df2 = pd.DataFrame(np.random.randn(2,4), columns=list('ABCD'))
In [3]: df1.groupby('asdf')
Out[3]: pandas.core.groupby.DataFrameGroupBy object at 0x1139acb10
In [4]: df2.groupby('asdf')
KeyError: 'asdf'
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