Read the sample data.

  Make it as a data frame.

   Use groupby() from pandas library.

#import library

import matplotlib.pyplot as plt

import pandas as pd

#10 sample data

data={‘name’:[‘sathish’,’raj’

,’raja’,’krishna’,’yusuf’,’sathish’

,’raj’,’raja’,’krishna’,’yusuf’],

‘band’:[‘a’,’a’,’a’,’a’,’a’,’b’

,’b’,’b’,’b’,’b’],’age’:

[25,26,25,23,30,29,23,23,25,25],

‘rating’:[4,3.24,2.5,2.25,2,

2.25,2.5,2.75,3.2,4.2],

‘bonus’:[2500,1200,900,1400,

1800,1400,850,250,750, 1000]}

df=pd.DataFrame(data)

print(df)

#Group by function

a=df[‘band’].groupby

(df[‘bonus’]).describe()

b=df[‘name’].groupby

(df[‘bonus’]).describe()

print(a,”\n”,b)