Follow PEP 8 naming convention

Author: ch-garcia

30-days-pandas/ds.py

@@ -0,0 +1,59 @@
+"""
+1757. Recyclable and Low Fat Products
+Solved
+Easy
+Topics
+Companies
+SQL Schema
+Pandas Schema
+
+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.
+"""
+
+import pandas as pd
+
+def find_products(products: pd.DataFrame) -> pd.DataFrame:
+    return products[(products['low_fats'] == 'Y') & (products['recyclable'] == 'Y')][['product_id']]