What is the equivalent of SQL “GROUP BY HAVING” on Pandas?

Question

what would be the most efficient way to use groupby and in parallel apply a filter in pandas?

Basically I am asking for the equivalent in SQL of

sele         


        

Answer 1

I group by state and county where max is greater than 20 then subquery the resulting values for True using the dataframe loc

counties=df.groupby(['state','county'])['field1'].max()>20
counties=counties.loc[counties.values==True]