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What will the following code generate?df = df[ (df['income'] <= 2000) ]df['income'].sum()A.Select employees who make less than $2,000.B.Select employees who make less than or equal to $2,000, and then sum up all their salaries.C.Select employees who make more than $2,000.D.Select employees who make more than or equal to $2,000, and then sum up all their salaries.

Question

What will the following code generate?df = df[ (df['income'] <= 2000) ]df['income'].sum()A.Select employees who make less than 2,000.B.Selectemployeeswhomakelessthanorequalto2,000.B.Select employees who make less than or equal to 2,000, and then sum up all their salaries.C.Select employees who make more than 2,000.D.Selectemployeeswhomakemorethanorequalto2,000.D.Select employees who make more than or equal to 2,000, and then sum up all their salaries.

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Solution

The code will perform option B: Select employees who make less than or equal to $2,000, and then sum up all their salaries.

Here's the step by step explanation:

  1. df = df[ (df['income'] <= 2000) ]: This line of code filters the dataframe df to only include rows where the 'income' column is less than or equal to 2000. The result is a new dataframe that only includes employees who make $2000 or less.

  2. df['income'].sum(): This line of code sums up the 'income' column of the filtered dataframe. This will give the total income of all employees who make $2000 or less.

This problem has been solved

Similar Questions

What will the following code do?def new_income(income):      return income **2 + 100data = df['income'].apply(new_income)data.sum()A.Square the income column and add 100.B.Double the income column and add 100.C.Square the income column, add 100, and then sum up all incomes.D.Double the income column, add 100, and then sum up all salaries.

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