How to add a row for subtotal from each group and then a final row of grand total of entries

I have the following dataframe:

Location	Student Name
D	Amy
D	Raj
E	Mitch
F	Poo
F	Mack

I am trying to generate the following dataframe:

Location	Student Name
D	Amy
D	Raj
Total Students at D	2
E	Mitch
Total Students at E	1
F	Poo
F	Mack
Total Students at F	2
Grand Total	5

How do I do that?

Answer

I will offer a solution without loops.

df = pd.DataFrame({'Location':['D','D','E','F','F'],
                   'Student Name':['Amy', 'Raj', 'Mitch', 'Poo', 'Mack']})
df1 = df.groupby('Location', as_index = False).agg({'Student Name':'count'})
df1['Location'] = df1['Location'].apply(lambda row : row + 'Total' )
df2 = pd.concat([df, df1]).sort_values(by = 'Location')
df2['Location'] = df2['Location'].apply(lambda x : 'Total Students at ' + x[:len(x)-len('Total')] if x.endswith('Total') else x)
df2 = df2.reset_index()
df2.drop(['index'], axis = 1, inplace = True)
df2 = df2.append({'Location' : 'Grand Total', 'Student Name' : df1['Student Name'].sum()}, ignore_index = True)

Output :

df2

               Location Student Name
0                     D          Amy
1                     D          Raj
2   Total Students at D            2
3                     E        Mitch
4   Total Students at E            1
5                     F          Poo
6                     F         Mack
7   Total Students at F            2
8           Grand Total            5