Modify Columns Solution in Python

Code Solution

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import pandas as pd

def modifySalaryColumn(employees: pd.DataFrame) -> pd.DataFrame:
    employees['salary'] = employees['salary'] * 2
    return employees

Problem Description

Ah, the classic “Modify Columns” problem! Imagine you’re a manager at a company, and you just found out that your employees are underpaid. You decide to double their salaries because, let’s face it, who wouldn’t want to be a millionaire overnight? This problem is all about taking a DataFrame of employees and modifying their salary column to reflect this newfound generosity.

In simpler terms, you have a table of employees with their salaries, and you need to make sure they’re not just scraping by on ramen noodles. You’ll be multiplying each salary by 2. Easy peasy, right?

Approach

The approach is straightforward:

1. Access the ‘salary’ column of the DataFrame.
2. Multiply each salary by 2.
3. Return the modified DataFrame.

It’s like giving your employees a raise without having to deal with any awkward conversations!

Time and Space Complexity

Time Complexity

O(n), where n is the number of employees. You have to go through each salary to double it.

Space Complexity

O(1), since you’re modifying the DataFrame in place and not using any additional data structures.

Real-World Example

Let’s say you run a small tech startup. You have 5 employees, and they’re all working hard, but their salaries are so low that they can barely afford coffee. You decide to double their salaries to keep them motivated and caffeinated. This problem is just like that! You take the DataFrame of your employees and their current salaries, and you apply the magic of multiplication to ensure they can finally enjoy their lattes without guilt.

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