Count number of rows per group:

import pandas as pd

df = pd.DataFrame([[10, 20, 30, 40], [7, 14, 21, 28], [5, 5, 0, 0],
                   [6, 6, 6, 6], [8, 8, 8, 8], [5, 5, 0, 0]],
                  columns=['Apple', 'Orange', 'Rice', 'Oil'],
                  index=['Basket1', 'Basket2', 'Basket3',
                         'Basket4', 'Basket5', 'Basket6'])

print(df)
print("\n ----------------------------- \n")
print(df[['Apple', 'Orange', 'Rice', 'Oil']].
      groupby(['Apple']).agg(['mean', 'count']))

C:\pandas>pep8 example49.py
 
C:\pandas>python example49.py
         Apple  Orange  Rice  Oil
Basket1     10      20    30   40
Basket2      7      14    21   28
Basket3      5       5     0    0
Basket4      6       6     6    6
Basket5      8       8     8    8
Basket6      5       5     0    0
 
 -----------------------------
 
      Orange       Rice        Oil
        mean count mean count mean count
Apple
5          5     2    0     2    0     2
6          6     1    6     1    6     1
7         14     1   21     1   28     1
8          8     1    8     1    8     1
10        20     1   30     1   40     1
 
C:\pandas>