python - Pandas: index of max value for each group -

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my pandas dataframe, df, looks this:

parameter1   parameter2   value  1            1            0.1              2            0.2  2            1            0.6              2            0.3

value result of groupby(['parameter1','parameter2']).mean() on dataframe. now, can find maximum value of value each value of parameter1 using

df.max(level='parameter1')

however, need find corresponding value of parameter2 maximum value. seems df.idxmax() not support level=, how can instead?

a nice way be

df.unstack().idxmax(axis=1)

unstacking dataframe gives dataframe parameter_1 column index.


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