Which Veteran and Rookie Pilots Fit the Payroll
Problem
You are given a DataFrame `pilots` with columns `pilot_id`, `rank`, and `wage`. `pilot_id` uniquely identifies each pilot, `rank` is either `'Veteran'` or `'Rookie'`, and `wage` is the pilot's annual wage.
An airline has a hiring budget of `50000`. It first hires `Veteran` pilots, cheapest wage first (ties broken by smaller `pilot_id`), taking each while the running total of veteran wages stays within budget. With the leftover budget it then hires `Rookie` pilots under the same cheapest-first rule. Return the `pilot_id` of every pilot actually hired, in any order, in one column `pilot_id`.
Input data
Example rows — the live problem includes the full dataset.
| pilot_id | rank | wage |
|---|---|---|
| 1 | Veteran | 20000 |
| 2 | Veteran | 25000 |
| 3 | Veteran | 30000 |
| 4 | Rookie | 4000 |
| 5 | Rookie | 3000 |
Expected output
Your answer should return 3 rows with the columns pilot_id.
Starter code (Pandas (Python))
import pandas as pd
def which_veteran_and_rookie_pilots_fit_the_payroll(pilots) -> pd.DataFrame:
# Your code here
return pilotsSolve this Pandas question free
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Solution & explanation
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