Pandas Multiindex Series Processing

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Pandas Multiindex Series Processing



I have a pandas 2 index serie that I got from a .groupby() on my original DataFrame:


label ncsc
False 0 297
1 537
2 333
3 207
4 51
5 12
6 4
7 2
True 0 29
1 68
2 35
3 29
4 35
5 18
6 8
7 2
Name: ncsc, dtype: int64



I would like to be able to compute for each 'ncsc' the True rate, ie, for 'ncsc'=6, True rate = 8/(4+8) = 0.66.
Do you see a way to do that with =out using a loop but with a 'pandas synthax'??



Thanks




1 Answer
1



Convert the wanted index level to a column and group by that column:


df.reset_index(level=1).groupby('ncsc').mean()






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