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

>>>