Filter orders by customer list
Given `orders` with columns `order_id`, `customer`, `amount`, `status` and `placed`, and a list of customer names, return the orders placed by any of them. Return only `order_id` and `customer`, sorted by `order_id` ascending.
Implement
orders_from(orders: dataframe, names: list[str]) → dataframeExamples
in
[{"__df__":[{"amount":120.5,"placed":"2024-01-05","status":"paid","customer":"ada","order_id":1},{"amount":80,"placed":"2024-01-07","status":"refunded","customer":"bo","order_id":2},{"amount":45.25,"placed":"2024-02-11","status":"paid","customer":"ada","order_id":3},{"amount":200,"placed":"2024-02-14","status":"paid","customer":"cy","order_id":4},{"amount":15.75,"placed":"2024-03-02","status":"pending","customer":"bo","order_id":5},{"amount":60,"placed":"2024-03-19","status":"paid","customer":"ada","order_id":6}]},["ada","cy"]]out[{"customer":"ada","order_id":1},{"customer":"ada","order_id":3},{"customer":"cy","order_id":4},{"customer":"ada","order_id":6}]What a strong answer looks like
State your approach and its time/space complexity out loud before you optimize. Handle the edge cases (empty input, duplicates, overflow), and say why you chose this over the brute force. Green tests are the floor, not the grade.
0:00 of about 7 min
solution.py
InputExpectedGot
[{"__df__":[{"amount":120.5,"placed":"2024-01-05","status":"paid","customer":"ada","order_id":1},{"amount":80,"placed":"2024-01-07","status":"refunded","customer":"bo","order_id":2},{"amount":45.25,"placed":"2024-02-11","status":"paid","customer":"ada","order_id":3},{"amount":200,"placed":"2024-02-14","status":"paid","customer":"cy","order_id":4},{"amount":15.75,"placed":"2024-03-02","status":"pending","customer":"bo","order_id":5},{"amount":60,"placed":"2024-03-19","status":"paid","customer":"ada","order_id":6}]},["ada","cy"]][{"customer":"ada","order_id":1},{"customer":"ada","order_id":3},{"customer":"cy","order_id":4},{"customer":"ada","order_id":6}]not run yetsample