EasyNo. 1084

Sales Analysis III — LeetCode 1084 Python Solution

Topics
Database
Reading time
3 min

Table schema

SQLTable schema
Table: Product +--------------+---------+ | Column Name | Type | +--------------+---------+ | product_id | int | | product_name | varchar | | unit_price | int | +--------------+---------+ product_id is the primary key (column with unique values) of this table. Each row of this table indicates the name and the price of each product.

Example

SQLExample
+--------------+---------+
| Column Name  | Type    |
+--------------+---------+
| product_id   | int     |
| product_name | varchar |
| unit_price   | int     |
+--------------+---------+
product_id is the primary key (column with unique values) of this table.
Each row of this table indicates the name and the price of each product.

Python solution

PythonSolution
import duckdb
import pandas as pd

def solution(product: pd.DataFrame, sales: pd.DataFrame) -> pd.DataFrame:
    con = duckdb.connect()
    con.register("Product", product)
    con.register("Sales", sales)
    return con.execute("""SELECT product_id, product_name
FROM
    Sales
    JOIN Product USING (product_id)
GROUP BY 1
HAVING COUNT(1) = SUM(sale_date BETWEEN '2019-01-01' AND '2019-03-31');""").df()

Complexity

Time
O(n log n)(typical)
Space · auxiliary
O(n)

Related problems

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Frequently asked questions

How hard is LeetCode 1084. Sales Analysis III?

LeetCode 1084. Sales Analysis III is rated Easy on LeetCode.

What topics does LeetCode 1084. Sales Analysis III cover?

LeetCode 1084. Sales Analysis III is tagged Database on LeetCode.

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