Recyclable and Low Fat Products Problem

Problem

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.

Examples

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.

Solution

Method 1 - Using where and and

Code

Sql

select product_id from products where low_fats = 'y' and recyclable='y'

Pandas

import pandas as pd

def find_products(products: pd.DataFrame) -> pd.DataFrame:
  recyclable_low_fat_df = products[(products['low_fats'] == 'Y') & (products['recyclable'] == 'Y')]
  return recyclable_low_fat_df[['product_id']]

Problem#

Examples#

Solution#

Method 1 - Using where and and#

Code#

Sql#

Pandas#