Calculating Mean of DataFrame Column

Write a Pandas program to calculate the mean score for each different student in DataFrame.

Example 1:

Input: DataFrame with 'score' column for each student 
Output: Mean 'score' for each student

Example 2:

Input: DataFrame with 'score' column for each student 
Output: Mean 'score' for each student

Use the pandas DataFrame mean() function.

import pandas as pd

def mean_score(df):
    return df['score'].mean()

df1 = pd.DataFrame({'name': ['Tom', 'Jack', 'Steve', 'Ricky'], 'score': [85, 90, 87, 91]})
df2 = pd.DataFrame({'name': ['Adam', 'Eve', 'Stark', 'Rogers'], 'score': [88, 92, 95, 97]})

print(mean_score(df1))
print(mean_score(df2))

 

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