Top Three Food Trucks Per City

PandasHardSenior level~10 min

Problem

You are given a DataFrame `trucksales` with columns `sale_id`, `city`, `revenue`, and `truck_name`. Each row is one sale a food truck made at a stop.

For every `city`, find the three food trucks with the highest **total revenue**. Break ties by `truck_name` alphabetically (A first). Output four columns: `city`, `first_truck`, `second_truck`, `third_truck`. Each truck cell must read as `truck_name (total_revenue)` (for example `TacoTide (320)`). If a city has fewer than three trucks, put the text `No runner up` for a missing second place and `No third place` for a missing third place. Order the result by `city` ascending.

Input data

Example rows — the live problem includes the full dataset.

trucksales

sale_id	city	revenue	truck_name
1	Austin	120	TacoTide
2	Austin	200	TacoTide
3	Austin	150	BunBros
4	Austin	90	CurryCart
5	Denver	300	WaffleWay

Expected output

Your answer should return 3 rows with the columns city, first_truck, second_truck, third_truck.

Starter code (Pandas (Python))

import pandas as pd

def top_three_trucks_per_city(trucksales) -> pd.DataFrame:
    # Your code here
    return trucksales

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