leetcode-problemset/leetcode/originData/group-sold-products-by-the-date.json

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            "title": "Group Sold Products By The Date",
            "titleSlug": "group-sold-products-by-the-date",
            "content": "<p>Table <code>Activities</code>:</p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type    |\n+-------------+---------+\n| sell_date   | date    |\n| product     | varchar |\n+-------------+---------+\nThere is no primary key (column with unique values) for this table. It may contain duplicates.\nEach row of this table contains the product name and the date it was sold in a market.\n</pre>\n\n<p>&nbsp;</p>\n\n<p>Write a solution to find for each date the number of different products sold and their names.</p>\n\n<p>The sold products names for each date should be sorted lexicographically.</p>\n\n<p>Return the result table ordered by <code>sell_date</code>.</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> \nActivities table:\n+------------+------------+\n| sell_date  | product     |\n+------------+------------+\n| 2020-05-30 | Headphone  |\n| 2020-06-01 | Pencil     |\n| 2020-06-02 | Mask       |\n| 2020-05-30 | Basketball |\n| 2020-06-01 | Bible      |\n| 2020-06-02 | Mask       |\n| 2020-05-30 | T-Shirt    |\n+------------+------------+\n<strong>Output:</strong> \n+------------+----------+------------------------------+\n| sell_date  | num_sold | products                     |\n+------------+----------+------------------------------+\n| 2020-05-30 | 3        | Basketball,Headphone,T-shirt |\n| 2020-06-01 | 2        | Bible,Pencil                 |\n| 2020-06-02 | 1        | Mask                         |\n+------------+----------+------------------------------+\n<strong>Explanation:</strong> \nFor 2020-05-30, Sold items were (Headphone, Basketball, T-shirt), we sort them lexicographically and separate them by a comma.\nFor 2020-06-01, Sold items were (Pencil, Bible), we sort them lexicographically and separate them by a comma.\nFor 2020-06-02, the Sold item is (Mask), we just return it.\n</pre>\n",
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            "exampleTestcases": "{\"headers\":{\"Activities\":[\"sell_date\",\"product\"]},\"rows\":{\"Activities\":[[\"2020-05-30\",\"Headphone\"],[\"2020-06-01\",\"Pencil\"],[\"2020-06-02\",\"Mask\"],[\"2020-05-30\",\"Basketball\"],[\"2020-06-01\",\"Bible\"],[\"2020-06-02\",\"Mask\"],[\"2020-05-30\",\"T-Shirt\"]]}}",
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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 categorize_products(activities: pd.DataFrame) -> pd.DataFrame:\n    ",
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                    "lang": "PostgreSQL",
                    "langSlug": "postgresql",
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            "solution": {
                "id": "2020",
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            "sampleTestCase": "{\"headers\":{\"Activities\":[\"sell_date\",\"product\"]},\"rows\":{\"Activities\":[[\"2020-05-30\",\"Headphone\"],[\"2020-06-01\",\"Pencil\"],[\"2020-06-02\",\"Mask\"],[\"2020-05-30\",\"Basketball\"],[\"2020-06-01\",\"Bible\"],[\"2020-06-02\",\"Mask\"],[\"2020-05-30\",\"T-Shirt\"]]}}",
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                "Create table If Not Exists Activities (sell_date date, product varchar(20))",
                "Truncate table Activities",
                "insert into Activities (sell_date, product) values ('2020-05-30', 'Headphone')",
                "insert into Activities (sell_date, product) values ('2020-06-01', 'Pencil')",
                "insert into Activities (sell_date, product) values ('2020-06-02', 'Mask')",
                "insert into Activities (sell_date, product) values ('2020-05-30', 'Basketball')",
                "insert into Activities (sell_date, product) values ('2020-06-01', 'Bible')",
                "insert into Activities (sell_date, product) values ('2020-06-02', 'Mask')",
                "insert into Activities (sell_date, product) values ('2020-05-30', 'T-Shirt')"
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