Pandas How to filter a Series

Question

I have a Series like this after doing groupby(\'name\') and used mean() function on other column

name
383      3.000000
663      1.000000
726      1.000000
7         


        

Answer 1

A fast way of doing this is to reconstruct using numpy to slice the underlying arrays. See timings below.

mask = s.values != 1
pd.Series(s.values[mask], s.index[mask])

0
383    3.000000
737    9.000000
833    8.166667
dtype: float64

naive timing