18. Which lambda function can be used to calculate the difference between "Attendance" and "Final Grade" for each student?

Question

18. Which  lambda function  can be used to calculate the difference between "Attendance" and "Final Grade" for each student?

Answer

'df['Difference'] = df['Final Grade'].map(lambda x: x - df['Attendance'])'

Answer

'df['Difference'] = df.apply(lambda row: row['Attendance'] - row['Final Grade'], axis=1)'

Answer

'df['Difference'] = df.apply(lambda row: row['Final Grade'] - row['Attendance'], axis=0)'

Answer

'df['Difference'] = df['Attendance'].apply(lambda x: x - df['Final Grade'])'

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