leetcode-problemset/leetcode/originData/average-selling-price.json

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            "questionFrontendId": "1251",
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            "title": "Average Selling Price",
            "titleSlug": "average-selling-price",
            "content": "<p>Table: <code>Prices</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name   | Type    |\n+---------------+---------+\n| product_id    | int     |\n| start_date    | date    |\n| end_date      | date    |\n| price         | int     |\n+---------------+---------+\n(product_id, start_date, end_date) is the primary key (combination of columns with unique values) for this table.\nEach row of this table indicates the price of the product_id in the period from start_date to end_date.\nFor each product_id there will be no two overlapping periods. That means there will be no two intersecting periods for the same product_id.\n</pre>\n\n<p>&nbsp;</p>\n\n<p>Table: <code>UnitsSold</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name   | Type    |\n+---------------+---------+\n| product_id    | int     |\n| purchase_date | date    |\n| units         | int     |\n+---------------+---------+\nThis table may contain duplicate rows.\nEach row of this table indicates the date, units, and product_id of each product sold. \n</pre>\n\n<p>&nbsp;</p>\n\n<p>Write a solution to find the average selling price for each product. <code>average_price</code> should be <strong>rounded to 2 decimal places</strong>.</p>\n\n<p>Return the result table in <strong>any order</strong>.</p>\n\n<p>The&nbsp;result format is in the following example.</p>\n\n<p>&nbsp;</p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \nPrices table:\n+------------+------------+------------+--------+\n| product_id | start_date | end_date   | price  |\n+------------+------------+------------+--------+\n| 1          | 2019-02-17 | 2019-02-28 | 5      |\n| 1          | 2019-03-01 | 2019-03-22 | 20     |\n| 2          | 2019-02-01 | 2019-02-20 | 15     |\n| 2          | 2019-02-21 | 2019-03-31 | 30     |\n+------------+------------+------------+--------+\nUnitsSold table:\n+------------+---------------+-------+\n| product_id | purchase_date | units |\n+------------+---------------+-------+\n| 1          | 2019-02-25    | 100   |\n| 1          | 2019-03-01    | 15    |\n| 2          | 2019-02-10    | 200   |\n| 2          | 2019-03-22    | 30    |\n+------------+---------------+-------+\n<strong>Output:</strong> \n+------------+---------------+\n| product_id | average_price |\n+------------+---------------+\n| 1          | 6.96          |\n| 2          | 16.96         |\n+------------+---------------+\n<strong>Explanation:</strong> \nAverage selling price = Total Price of Product / Number of products sold.\nAverage selling price for product 1 = ((100 * 5) + (15 * 20)) / 115 = 6.96\nAverage selling price for product 2 = ((200 * 15) + (30 * 30)) / 230 = 16.96\n</pre>\n",
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            "exampleTestcases": "{\"headers\":{\"Prices\":[\"product_id\",\"start_date\",\"end_date\",\"price\"],\"UnitsSold\":[\"product_id\",\"purchase_date\",\"units\"]},\"rows\":{\"Prices\":[[1,\"2019-02-17\",\"2019-02-28\",5],[1,\"2019-03-01\",\"2019-03-22\",20],[2,\"2019-02-01\",\"2019-02-20\",15],[2,\"2019-02-21\",\"2019-03-31\",30]],\"UnitsSold\":[[1,\"2019-02-25\",100],[1,\"2019-03-01\",15],[2,\"2019-02-10\",200],[2,\"2019-03-22\",30]]}}",
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                    "lang": "MySQL",
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                    "lang": "MS SQL Server",
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                    "lang": "Oracle",
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                    "code": "/* Write your PL/SQL query statement below */\n",
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                    "lang": "Pandas",
                    "langSlug": "pythondata",
                    "code": "import pandas as pd\n\ndef average_selling_price(prices: pd.DataFrame, units_sold: pd.DataFrame) -> pd.DataFrame:\n    ",
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                    "lang": "PostgreSQL",
                    "langSlug": "postgresql",
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            "sampleTestCase": "{\"headers\":{\"Prices\":[\"product_id\",\"start_date\",\"end_date\",\"price\"],\"UnitsSold\":[\"product_id\",\"purchase_date\",\"units\"]},\"rows\":{\"Prices\":[[1,\"2019-02-17\",\"2019-02-28\",5],[1,\"2019-03-01\",\"2019-03-22\",20],[2,\"2019-02-01\",\"2019-02-20\",15],[2,\"2019-02-21\",\"2019-03-31\",30]],\"UnitsSold\":[[1,\"2019-02-25\",100],[1,\"2019-03-01\",15],[2,\"2019-02-10\",200],[2,\"2019-03-22\",30]]}}",
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                "Create table If Not Exists Prices (product_id int, start_date date, end_date date, price int)",
                "Create table If Not Exists UnitsSold (product_id int, purchase_date date, units int)",
                "Truncate table Prices",
                "insert into Prices (product_id, start_date, end_date, price) values ('1', '2019-02-17', '2019-02-28', '5')",
                "insert into Prices (product_id, start_date, end_date, price) values ('1', '2019-03-01', '2019-03-22', '20')",
                "insert into Prices (product_id, start_date, end_date, price) values ('2', '2019-02-01', '2019-02-20', '15')",
                "insert into Prices (product_id, start_date, end_date, price) values ('2', '2019-02-21', '2019-03-31', '30')",
                "Truncate table UnitsSold",
                "insert into UnitsSold (product_id, purchase_date, units) values ('1', '2019-02-25', '100')",
                "insert into UnitsSold (product_id, purchase_date, units) values ('1', '2019-03-01', '15')",
                "insert into UnitsSold (product_id, purchase_date, units) values ('2', '2019-02-10', '200')",
                "insert into UnitsSold (product_id, purchase_date, units) values ('2', '2019-03-22', '30')"
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