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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