Menu Item Totals Across Tickets

PandasEasyJunior level~10 min

Problem

You are given two DataFrames. `dish` has columns `dish_id` and `dish_name`. `ticket` has columns `ticket_id`, `dish_id`, `pending`, `served`, `comped`, `voided`.

For every dish, return the total `pending`, `served`, `comped` and `voided` counts summed across all of its tickets. A dish that appears on no ticket must still be returned with zeros. Order the result by `dish_name`. Output columns: `dish_name`, `pending`, `served`, `comped`, `voided`.

Input data

Example rows — the live problem includes the full dataset.

dish

dish_id	dish_name
1	Falafel
2	Hummus
3	Shakshuka

ticket

ticket_id	dish_id	pending	served	comped	voided
88	1	10	5	0	1
89	1	2	3	1	0
90	2	4	4	2	2

Expected output

Your answer should return 3 rows with the columns dish_name, pending, served, comped, voided.

Starter code (Pandas (Python))

import pandas as pd

def menu_item_totals(dish, ticket) -> pd.DataFrame:
    # Your code here
    return dish

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