1
0
mirror of https://gitee.com/coder-xiaomo/leetcode-problemset synced 2025-01-10 18:48:13 +08:00
Code Issues Projects Releases Wiki Activity GitHub Gitee
leetcode-problemset/leetcode/originData/rearrange-products-table.json
2023-12-09 19:57:46 +08:00

93 lines
7.1 KiB
JSON

{
"data": {
"question": {
"questionId": "1948",
"questionFrontendId": "1795",
"boundTopicId": null,
"title": "Rearrange Products Table",
"titleSlug": "rearrange-products-table",
"content": "<p>Table: <code>Products</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| product_id | int |\n| store1 | int |\n| store2 | int |\n| store3 | int |\n+-------------+---------+\nproduct_id is the primary key (column with unique values) for this table.\nEach row in this table indicates the product&#39;s price in 3 different stores: store1, store2, and store3.\nIf the product is not available in a store, the price will be null in that store&#39;s column.\n</pre>\n\n<p>&nbsp;</p>\n\n<p>Write a solution to rearrange the <code>Products</code> table so that each row has <code>(product_id, store, price)</code>. If a product is not available in a store, do <strong>not</strong> include a row with that <code>product_id</code> and <code>store</code> combination in the result table.</p>\n\n<p>Return the result table in <strong>any order</strong>.</p>\n\n<p>The 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> \nProducts table:\n+------------+--------+--------+--------+\n| product_id | store1 | store2 | store3 |\n+------------+--------+--------+--------+\n| 0 | 95 | 100 | 105 |\n| 1 | 70 | null | 80 |\n+------------+--------+--------+--------+\n<strong>Output:</strong> \n+------------+--------+-------+\n| product_id | store | price |\n+------------+--------+-------+\n| 0 | store1 | 95 |\n| 0 | store2 | 100 |\n| 0 | store3 | 105 |\n| 1 | store1 | 70 |\n| 1 | store3 | 80 |\n+------------+--------+-------+\n<strong>Explanation:</strong> \nProduct 0 is available in all three stores with prices 95, 100, and 105 respectively.\nProduct 1 is available in store1 with price 70 and store3 with price 80. The product is not available in store2.\n</pre>\n",
"translatedTitle": null,
"translatedContent": null,
"isPaidOnly": false,
"difficulty": "Easy",
"likes": 798,
"dislikes": 52,
"isLiked": null,
"similarQuestions": "[{\"title\": \"Product's Price for Each Store\", \"titleSlug\": \"products-price-for-each-store\", \"difficulty\": \"Easy\", \"translatedTitle\": null}, {\"title\": \"Dynamic Unpivoting of a Table\", \"titleSlug\": \"dynamic-unpivoting-of-a-table\", \"difficulty\": \"Hard\", \"translatedTitle\": null}]",
"exampleTestcases": "{\"headers\":{\"Products\":[\"product_id\",\"store1\",\"store2\",\"store3\"]},\"rows\":{\"Products\":[[0, 95, 100, 105], [1, 70, null, 80]]}}",
"categoryTitle": "Database",
"contributors": [],
"topicTags": [
{
"name": "Database",
"slug": "database",
"translatedName": null,
"__typename": "TopicTagNode"
}
],
"companyTagStats": null,
"codeSnippets": [
{
"lang": "MySQL",
"langSlug": "mysql",
"code": "# Write your MySQL query statement below\n",
"__typename": "CodeSnippetNode"
},
{
"lang": "MS SQL Server",
"langSlug": "mssql",
"code": "/* Write your T-SQL query statement below */\n",
"__typename": "CodeSnippetNode"
},
{
"lang": "Oracle",
"langSlug": "oraclesql",
"code": "/* Write your PL/SQL query statement below */\n",
"__typename": "CodeSnippetNode"
},
{
"lang": "Pandas",
"langSlug": "pythondata",
"code": "import pandas as pd\n\ndef rearrange_products_table(products: pd.DataFrame) -> pd.DataFrame:\n ",
"__typename": "CodeSnippetNode"
},
{
"lang": "PostgreSQL",
"langSlug": "postgresql",
"code": "-- Write your PostgreSQL query statement below\n",
"__typename": "CodeSnippetNode"
}
],
"stats": "{\"totalAccepted\": \"112K\", \"totalSubmission\": \"131.2K\", \"totalAcceptedRaw\": 112015, \"totalSubmissionRaw\": 131199, \"acRate\": \"85.4%\"}",
"hints": [],
"solution": {
"id": "2023",
"canSeeDetail": false,
"paidOnly": true,
"hasVideoSolution": false,
"paidOnlyVideo": true,
"__typename": "ArticleNode"
},
"status": null,
"sampleTestCase": "{\"headers\":{\"Products\":[\"product_id\",\"store1\",\"store2\",\"store3\"]},\"rows\":{\"Products\":[[0, 95, 100, 105], [1, 70, null, 80]]}}",
"metaData": "{\"mysql\": [\"Create table If Not Exists Products (product_id int, store1 int, store2 int, store3 int)\"], \"mssql\": [\"Create table Products (product_id int, store1 int, store2 int, store3 int)\"], \"oraclesql\": [\"Create table Products (product_id int, store1 int, store2 int, store3 int)\"], \"database\": true, \"name\": \"rearrange_products_table\", \"pythondata\": [\"Products = pd.DataFrame([], columns=['product_id', 'store1', 'store2', 'store3']).astype({'product_id':'Int64', 'store1':'Int64', 'store2':'Int64', 'store3':'Int64'})\"], \"manual\": false, \"postgresql\": [\"Create table If Not Exists Products (product_id int, store1 int, store2 int, store3 int)\\n\"], \"database_schema\": {\"Products\": {\"product_id\": \"INT\", \"store1\": \"INT\", \"store2\": \"INT\", \"store3\": \"INT\"}}}",
"judgerAvailable": true,
"judgeType": "large",
"mysqlSchemas": [
"Create table If Not Exists Products (product_id int, store1 int, store2 int, store3 int)",
"Truncate table Products",
"insert into Products (product_id, store1, store2, store3) values ('0', '95', '100', '105')",
"insert into Products (product_id, store1, store2, store3) values ('1', '70', 'None', '80')"
],
"enableRunCode": true,
"enableTestMode": false,
"enableDebugger": false,
"envInfo": "{\"mysql\": [\"MySQL\", \"<p><code>MySQL 8.0</code>.</p>\"], \"mssql\": [\"MS SQL Server\", \"<p><code>mssql server 2019</code>.</p>\"], \"oraclesql\": [\"Oracle\", \"<p><code>Oracle Sql 11.2</code>.</p>\"], \"pythondata\": [\"Pandas\", \"<p>Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0</p>\"], \"postgresql\": [\"PostgreSQL\", \"<p>PostgreSQL 16</p>\"]}",
"libraryUrl": null,
"adminUrl": null,
"challengeQuestion": null,
"__typename": "QuestionNode"
}
}
}