I am just wondering how can I aggregate all the results in grouped by pandas data frame. 

```
data1 = {'id':['1', '1', '2', '2', '2', '3', '3', '3'],  
        'Age':[27, 24, 22, 32, 33, 36, 27, 32],    
        'Qualification':['Msc', 'MA', 'MCA', 'Phd','B.Tech', 'B.com', 'Msc', 'MA']
        }
df = pd.DataFrame(data1) 

grp = df.groupby('id') 
for name, group in grp:
    x = group.Age * 2 
    print (x)

0    54
1    48
Name: Age, dtype: int64
2    44
3    64
4    66
Name: Age, dtype: int64
5    72
6    54
7    64
Name: Age, dtype: int64

```

I have tired like this it save only last group. 

```
result = pd.DataFrame(x) 
result

Age
5   72
6   54
7   64

```

how to save all these result in pandas dataframe ? 

Expected results

```
Age 
0   54
1   48
2   44
3   64
4   66
5   72
6   54
7   64

```