Python Pandas : Pivot table : aggfunc concatenate instead of np.size or np.sum

Question

I have some entries in dataframe like :

name, age, phonenumber
 A,10, Phone1
 A,10,Phone2
 B,21,PhoneB1
 B,21,PhoneB2
 C,23,PhoneC

Here is

Answer 1

You can use agg function after the groupby:

df.groupby(['name', 'age'])['phonenumber'].\
    agg({'phonecount': pd.Series.nunique, 
         'phonenumber': lambda x: ','.join(x)
        }
       )

#               phonenumber  phonecount
# name  age     
#    A   10   Phone1,Phone2           2
#    B   21 PhoneB1,PhoneB2           2
#    C   23          PhoneC           1

Or a shorter version according to @root and @Jon Clements:

df.groupby(['name', 'age'])['phonenumber'].\
   agg({'phonecount': 'nunique', 'phonenumber': ','.join})