Pandas program to calculate the mean score for each different student in Data Frame.

Write a Pandas program to calculate the mean score for each different student in Data Frame with Practical Example.

Program Logic:

• Import pandas module in program using import statement
• Import numpy module using import statement
• Create Dictionary object say marks with different set of key value pairs
• Create DataFrame object say result using DataFrame method and pass index as an argument to it
• Print DataFrame ‘result’ using print function
• Calculate mean score for each student using mean function and set attribute axis to 1
• Display mean score of each student using print function.

Below is implementation code /Source code:

import pandas as pd
import numpy as np
marks  = { "English" :[67,89,90,55],
           "Maths":[55,67,45,56],
            "IP":[66,78,89,90],
           "Chemistry" :[45,56,67,65],
           "Biology":[54,65,76,87]}
result = pd.DataFrame(marks,index=["Athang","Sujata","Sushil","Sumedh"])
print("******************Marksheet****************")
print(result)
print("\nMean score for each different student in data frame:")
print(result.mean(axis=1))

Below is Output:

*****************Marksheet****************
        English  Maths  IP  Chemistry  Biology
Athang       67     55  66         45       54
Sujata       89     67  78         56       65
Sushil       90     45  89         67       76
Sumedh       55     56  90         65       87

Mean score for each different student in data frame:
Athang    57.4
Sujata    71.0
Sushil    73.4
Sumedh    70.6
dtype: float64

Below is Snapshot of executable code with output:

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