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
From pandas version 0.18+ filtering a series can also be done as below
test = {
383: 3.000000,
663: 1.000000,
726: 1.000000,
737: 9.000000,
833: 8.166667
}
pd.Series(test).where(lambda x : x!=1).dropna()
Checkout: http://pandas.pydata.org/pandas-docs/version/0.18.1/whatsnew.html#method-chaininng-improvements