Daily Distinct Buyers and Couriers

PandasEasyJunior level~10 min

Problem

You are given a DataFrame `parcel_log` with columns `ship_date`, `hub_code`, `buyer_id`, `courier_id`.

For each combination of `ship_date` and `hub_code`, return the number of distinct buyers and the number of distinct couriers. Output columns: `ship_date`, `hub_code`, `distinct_buyers`, `distinct_couriers`.

Input data

Example rows — the live problem includes the full dataset.

parcel_log

ship_date	hub_code	buyer_id	courier_id
2026-01-01	north	7	3
2026-01-01	north	7	4
2026-01-01	north	8	3
2026-01-01	south	9	5
2026-01-02	north	7	3

Expected output

Your answer should return 3 rows with the columns ship_date, hub_code, distinct_buyers, distinct_couriers.

Starter code (Pandas (Python))

import pandas as pd

def daily_distinct_buyers_couriers(parcel_log) -> pd.DataFrame:
    # Your code here
    return parcel_log

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