Itemize the Largest Repair Ticket

PandasHardSenior level~10 min

Problem

You are given two DataFrames. `parts` has columns `part_id` and `rate`. `ticket_lines` has columns `ticket_id`, `part_id`, and `qty`. The cost of a line is `qty * rate`, and a ticket's total is the sum of its line costs. Find the ticket with the highest total cost; if several tickets tie, pick the one with the smallest `ticket_id`. Return its line items as a DataFrame with columns `part_id`, `qty`, and `line_cost`. Row order does not matter.

Input data

Example rows — the live problem includes the full dataset.

parts

part_id	rate
1	100
2	200

ticket_lines

ticket_id	part_id	qty
1	1	2
3	2	1
2	2	3
2	1	4
4	1	10

Expected output

Your answer should return 2 rows with the columns part_id, qty, line_cost.

Starter code (Pandas (Python))

import pandas as pd

def largest_ticket(parts, ticket_lines) -> pd.DataFrame:
    # Your code here
    return ticket_lines

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