Sales Analysis I — LeetCode 1082 Python Solution

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.

+--------------+---------+
| 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.

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 seller_id
FROM Sales
GROUP BY seller_id
HAVING
    SUM(price) >= ALL(
        SELECT SUM(price)
        FROM Sales
        GROUP BY seller_id
    );""").df()