EasyNo. 1068
Product Sales Analysis I — LeetCode 1068 Python Solution
- Topics
- Database
- Reading time
- 2 min
- Source
- leetcode.com
The problem
For every sale, report the name of the product that was sold, the year of the sale and the unit price, in any order. The Sales table has one row per sale: sale_id (int), product_id (int), year (int), quantity (int) and price (int, the price per unit), with the pair (sale_id, year) as the primary key. The Product table maps product_id (int, the primary key) to product_name (varchar).
Example
Sales table: | sale_id | product_id | year | quantity | price | | ------- | ---------- | ---- | -------- | ----- | | 11 | 300 | 2019 | 25 | 1200 | | 12 | 300 | 2020 | 30 | 1150 | | 13 | 400 | 2020 | 8 | 4300 | Product table: | product_id | product_name | | ---------- | ------------ | | 300 | Router | | 400 | Laptop | Result: | product_name | year | price | | ------------ | ---- | ----- | | Router | 2019 | 1200 | | Router | 2020 | 1150 | | Laptop | 2020 | 4300 | Each sale is matched to its product name through product_id, so the two Router sales keep their own year and price and the single Laptop sale follows.
Python solution
import pandas as pd
def sales_analysis(sales: pd.DataFrame, product: pd.DataFrame) -> pd.DataFrame:
merged = sales.merge(product, on='product_id')
return merged[['product_name', 'year', 'price']]Complexity
- Time
- O(n log n)(typical)
- Space · auxiliary
- O(n)
Related problems
| No. | Problem | Difficulty |
|---|---|---|
| 0175 | Combine Two Tables | Easy |
| 0176 | Second Highest Salary | Medium |
| 0177 | Nth Highest Salary | Medium |
| 0178 | Rank Scores | Medium |
| 0180 | Consecutive Numbers | Medium |
| 0181 | Employees Earning More Than Their Managers | Easy |
Frequently asked questions
- How hard is LeetCode 1068. Product Sales Analysis I?
LeetCode 1068. Product Sales Analysis I is rated Easy on LeetCode.
- What topics does LeetCode 1068. Product Sales Analysis I cover?
LeetCode 1068. Product Sales Analysis I is tagged Database on LeetCode.