25. WAP to calculate median and mean
for each subject 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("Mean Value for
each subject: ")
print(dfmks.mean(axis=1))
print("Median Value
for each Subject: ")
print(dfmks.median(axis=1))
>>> 
=======================
RESTART: C:/Program Files (x86)/Python38-32/IP-25.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
Mean Value for each
subject: 
Acct    96.25
Eco     94.25
Eng     91.00
IP      93.50
Math    95.50
dtype: float64
Median Value for each
Subject: 
Acct    97.0
Eco     94.0
Eng     90.0
IP      94.0
Math    98.0
dtype: float64
>>>
 
 
 
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