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How to do descriptive statistics using pandas groupby function in python?

Description

To calculate the descriptive statistics values using pandas groupby function using python.

Process

   Read the sample data.

  Make it as a data frame.

   Use groupby() from pandas library.

Sample Code

#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)

Screenshots
descriptive statistics using pandas groupby function in python
import matplotlib.pyplot as plt
import pandas pd