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
In [5]: import pandas as pd test = { 383: 3.000000, 663: 1.000000, 726: 1.000000, 737: 9.000000, 833: 8.166667 } s = pd.Series(test) s = s[s != 1] s Out[0]: 383 3.000000 737 9.000000 833 8.166667 dtype: float64