|
| 1 | +Here’s a well-structured `README.md` for **LeetCode 1757 - Recyclable and Low Fat Products**, formatted for a GitHub repository: |
| 2 | + |
| 3 | +```md |
| 4 | +# ♻️ Recyclable and Low Fat Products - LeetCode 1757 |
| 5 | + |
| 6 | +## 📌 Problem Statement |
| 7 | +You are given a table **Products** that contains information about products with respect to their fat content and recyclability. |
| 8 | + |
| 9 | +- The **low_fats** column is an ENUM with values `'Y'` and `'N'`, where `'Y'` indicates the product is low fat. |
| 10 | +- The **recyclable** column is an ENUM with values `'Y'` and `'N'`, where `'Y'` indicates the product is recyclable. |
| 11 | + |
| 12 | +Your task is to **find the IDs of products that are both low fat and recyclable**. |
| 13 | + |
| 14 | +Return the result in **any order**. |
| 15 | + |
| 16 | +--- |
| 17 | + |
| 18 | +## 📊 Table Structure |
| 19 | + |
| 20 | +### **Products Table** |
| 21 | +| Column Name | Type | |
| 22 | +| ----------- | ---- | |
| 23 | +| product_id | int | |
| 24 | +| low_fats | enum | |
| 25 | +| recyclable | enum | |
| 26 | + |
| 27 | +- `product_id` is the **primary key**. |
| 28 | + |
| 29 | +--- |
| 30 | + |
| 31 | +## 📊 Example 1: |
| 32 | + |
| 33 | +### **Input:** |
| 34 | +#### **Products Table** |
| 35 | +| product_id | low_fats | recyclable | |
| 36 | +| ---------- | -------- | ---------- | |
| 37 | +| 0 | Y | N | |
| 38 | +| 1 | Y | Y | |
| 39 | +| 2 | N | Y | |
| 40 | +| 3 | Y | Y | |
| 41 | +| 4 | N | N | |
| 42 | + |
| 43 | +### **Output:** |
| 44 | +| product_id | |
| 45 | +| ---------- | |
| 46 | +| 1 | |
| 47 | +| 3 | |
| 48 | + |
| 49 | +### **Explanation:** |
| 50 | +- Only products with `product_id` **1** and **3** are **both low fat and recyclable**. |
| 51 | + |
| 52 | +--- |
| 53 | + |
| 54 | +## 🖥 SQL Solution |
| 55 | + |
| 56 | +### ✅ **Approach:** |
| 57 | +- Filter the **Products** table for rows where `low_fats = 'Y'` and `recyclable = 'Y'`. |
| 58 | +- Return the corresponding `product_id`. |
| 59 | + |
| 60 | +```sql |
| 61 | +SELECT product_id |
| 62 | +FROM Products |
| 63 | +WHERE low_fats = 'Y' AND recyclable = 'Y'; |
| 64 | +``` |
| 65 | + |
| 66 | +--- |
| 67 | + |
| 68 | +## 🐍 Python (Pandas) Solution |
| 69 | + |
| 70 | +### ✅ **Approach:** |
| 71 | +1. Load the **Products** table into a Pandas DataFrame. |
| 72 | +2. Filter the DataFrame to keep rows where both `low_fats` and `recyclable` are `'Y'`. |
| 73 | +3. Select and return the `product_id` column. |
| 74 | + |
| 75 | +```python |
| 76 | +import pandas as pd |
| 77 | + |
| 78 | +def recyclable_low_fat_products(products: pd.DataFrame) -> pd.DataFrame: |
| 79 | + # Filter rows where both low_fats and recyclable are 'Y' |
| 80 | + filtered = products[(products['low_fats'] == 'Y') & (products['recyclable'] == 'Y')] |
| 81 | + # Select only the product_id column |
| 82 | + result = filtered[['product_id']] |
| 83 | + return result |
| 84 | +``` |
| 85 | + |
| 86 | +--- |
| 87 | + |
| 88 | +## 📁 File Structure |
| 89 | +``` |
| 90 | +📂 Recyclable-Low-Fat-Products |
| 91 | +│── 📜 README.md |
| 92 | +│── 📜 solution.sql |
| 93 | +│── 📜 solution_pandas.py |
| 94 | +│── 📜 test_cases.sql |
| 95 | +│── 📜 sample_data.csv |
| 96 | +``` |
| 97 | + |
| 98 | +--- |
| 99 | + |
| 100 | +## 🔗 Useful Links |
| 101 | +- 📖 [LeetCode Problem](https://leetcode.com/problems/recyclable-and-low-fat-products/) |
| 102 | +- 🔍 [MySQL WHERE Clause](https://www.w3schools.com/sql/sql_where.asp) |
| 103 | +- 🐍 [Pandas DataFrame Filtering](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.loc.html) |
| 104 | +``` |
| 105 | + |
| 106 | +### Features of this `README.md`: |
| 107 | +✅ **Clear problem description with table structure** |
| 108 | +✅ **Example with detailed explanation** |
| 109 | +✅ **SQL and Python (Pandas) solutions with breakdown** |
| 110 | +✅ **Organized file structure for repository** |
| 111 | +✅ **Helpful links for further learning** |
| 112 | + |
| 113 | +Let me know if you need any modifications! |
0 commit comments