Description
Table: Products
+-------------+---------+
| Column Name | Type |
+-------------+---------+
| product_id | int |
| low_fats | enum |
| recyclable | enum |
+-------------+---------+
product_id is the primary key (column with unique values) for this table.
low_fats is an ENUM (category) of type ('Y', 'N') where 'Y' means this product is low fat and 'N' means it is not.
recyclable is an ENUM (category) of types ('Y', 'N') where 'Y' means this product is recyclable and 'N' means it is not.
Write a solution to find the ids of products that are both low fat and recyclable.
Return the result table in any order.
The result format is in the following example.
Example 1:
Input: Products table: +-------------+----------+------------+ | product_id | low_fats | recyclable | +-------------+----------+------------+ | 0 | Y | N | | 1 | Y | Y | | 2 | N | Y | | 3 | Y | Y | | 4 | N | N | +-------------+----------+------------+ Output: +-------------+ | product_id | +-------------+ | 1 | | 3 | +-------------+ Explanation: Only products 1 and 3 are both low fat and recyclable.
Solutions
Solution 1: Conditional Filtering
We can directly filter the product IDs where low_fats is Y and recyclable is Y.
Pythonsql
import pandas as pd def find_products(products: pd.DataFrame) -> pd.DataFrame: rs = products[(products["low_fats"] == "Y") & (products["recyclable"] == "Y")] rs = rs[["product_id"]] return rs(code-box)
