Members Who Qualify for Loyalty Points (List)
Problem
You are given one DataFrame `renewals` with columns `member_id`, `renewed_at`, and `fee_cents`. The pair `(member_id, renewed_at)` is unique.
A member qualifies for loyalty points if they made at least one renewal during the inclusive window from `'2023-09-01'` to `'2023-09-30'` that cost at least 5000 cents.
Return the `member_id` of every qualifying member, ordered by `member_id` ascending.
Input data
Example rows — the live problem includes the full dataset.
renewals
| member_id | renewed_at | fee_cents |
|---|---|---|
| 1 | 2023-09-04 10:00:00 | 5200 |
| 1 | 2023-09-18 11:00:00 | 5200 |
| 2 | 2023-09-10 09:00:00 | 4000 |
| 3 | 2023-08-30 12:00:00 | 9000 |
| 4 | 2023-09-29 23:00:00 | 5000 |
Expected output
Your answer should return 2 rows with the columns member_id.
Starter code (Pandas (Python))
import pandas as pd
def qualifying_member_list(renewals) -> pd.DataFrame:
# Your code here
return renewalsSolve this Pandas question free
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