Thursday, 11 March 2021

Class 12 IP Practical - 24

24. WAP to calculate mode for each subject and each section in DataFrame dfmks.

 A B C D Acct 99 97 92 97 Eco 94 94 92 97 Eng 95 89 91 89 IP 94 87 99 94 Math 97 87 99 99

import pandas as pd

import numpy as np

d={'A':{'Acct':99,'Eco':94,'Eng':95,'IP':94,'Math':97}, \

'B':{'Acct':97,'Eco':94,'Eng':89,'IP':87,'Math':87}, \

'C':{'Acct':92,'Eco':92,'Eng':91,'IP':99,'Math':99}, \

'D':{'Acct':97,'Eco':97,'Eng':89,'IP':94,'Math':99}}

dfmks=pd.DataFrame(d)

print("DataFrame is: ")

print(dfmks)

print("Mode Value for each subject: ")

print(dfmks.mode(axis=1))

print("Mode Value for each Section: ")

print(dfmks.mode(axis=0))

RESTART: C:/Program Files (x86)/Python38-32/IP-24.py ======================

DataFrame is:

A   B   C   D

Acct  99  97  92  97

Eco   94  94  92  97

Eng   95  89  91  89

IP    94  87  99  94

Math  97  87  99  99

Mode Value for each subject:

0

Acct  97

Eco   94

Eng   89

IP    94

Math  99

Mode Value for each Section:

A     B   C     D

0  94.0  87.0  92  97.0

1   NaN   NaN  99   NaN

>>>