followup to #14668
When you have an exception in some aggregation columns, need to be more friendly. We exclude them in .groupby aggs so need to do that here.
In [1]: df = tm.makeMixedDataFrame()
In [2]: df
Out[2]:
A B C D
0 0.0 0.0 foo1 2009-01-01
1 1.0 1.0 foo2 2009-01-02
2 2.0 0.0 foo3 2009-01-05
3 3.0 1.0 foo4 2009-01-06
4 4.0 0.0 foo5 2009-01-07
In [3]: df.agg('sum')
Out[3]:
A 10.0
B 2.0
dtype: float64
In [4]: df.agg(['sum'])
ValueError: no results
In [6]: df.agg(['min'])
Out[6]:
A B C D
min 0.0 0.0 foo1 2009-01-01
so [4] should prob not happen
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