Solution :-

import pandas as pd

Pass_Perc ={‘Phy’: {‘2017′:95.4,’2018′:96.4,’2019′:99.2,’2020’:97.4},

‘Che’: {‘2017′:96.5,’2018′:97.4,’2019′:100,’2020’:99.2},

‘Maths’: {‘2017′:90.2,’2018′:92.6,’2019′:97.4,’2020’:98.0},

‘Eng’: {‘2017′:99.2,’2018′:100,’2019′:100,’2020’:100},

‘IP’: {‘2017′:95.6,’2018′:100,’2019′:100,’2020’:100}}

df=pd.DataFrame(Pass_Perc)

print(df)

print()

print(‘Column wise sum in datframe is :’)

print(df.sum(axis=0))

#  Print mean vaLue of each coLumn

print()

print(‘Column wise mean value are:’)

print(df.mean(axis=0).round(1))

#  Returns CoLumn with minimum mean vaLue

print()

print(‘Column with minimum mean value is:’)

print(df.mean(axis=0).idxmin())