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leetcode-problemset/leetcode-cn/originData/reformat-department-table.json
2023-12-09 19:57:46 +08:00

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"question": {
"questionId": "1301",
"questionFrontendId": "1179",
"categoryTitle": "Database",
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"title": "Reformat Department Table",
"titleSlug": "reformat-department-table",
"content": "<p>Table: <code>Department</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| id | int |\n| revenue | int |\n| month | varchar |\n+-------------+---------+\nIn SQL,(id, month) is the primary key of this table.\nThe table has information about the revenue of each department per month.\nThe month has values in [&quot;Jan&quot;,&quot;Feb&quot;,&quot;Mar&quot;,&quot;Apr&quot;,&quot;May&quot;,&quot;Jun&quot;,&quot;Jul&quot;,&quot;Aug&quot;,&quot;Sep&quot;,&quot;Oct&quot;,&quot;Nov&quot;,&quot;Dec&quot;].\n</pre>\n\n<p>&nbsp;</p>\n\n<p>Reformat the table such that there is a department id column and a revenue column <strong>for each month</strong>.</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> \nDepartment table:\n+------+---------+-------+\n| id | revenue | month |\n+------+---------+-------+\n| 1 | 8000 | Jan |\n| 2 | 9000 | Jan |\n| 3 | 10000 | Feb |\n| 1 | 7000 | Feb |\n| 1 | 6000 | Mar |\n+------+---------+-------+\n<strong>Output:</strong> \n+------+-------------+-------------+-------------+-----+-------------+\n| id | Jan_Revenue | Feb_Revenue | Mar_Revenue | ... | Dec_Revenue |\n+------+-------------+-------------+-------------+-----+-------------+\n| 1 | 8000 | 7000 | 6000 | ... | null |\n| 2 | 9000 | null | null | ... | null |\n| 3 | null | 10000 | null | ... | null |\n+------+-------------+-------------+-------------+-----+-------------+\n<strong>Explanation:</strong> The revenue from Apr to Dec is null.\nNote that the result table has 13 columns (1 for the department id + 12 for the months).\n</pre>\n",
"translatedTitle": "重新格式化部门表",
"translatedContent": "<p>表&nbsp;<code>Department</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| id | int |\n| revenue | int |\n| month | varchar |\n+---------------+---------+\n在 SQL 中,(id, month) 是表的联合主键。\n这个表格有关于每个部门每月收入的信息。\n月份month可以取下列值 [\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"]。\n</pre>\n\n<p>&nbsp;</p>\n\n<p>重新格式化表格,使得&nbsp;<strong>每个月&nbsp;</strong>都有一个部门 id 列和一个收入列。</p>\n\n<p>以 <strong>任意顺序</strong> 返回结果表。</p>\n\n<p>结果格式如以下示例所示。</p>\n\n<p>&nbsp;</p>\n\n<p><strong>示例 1</strong></p>\n\n<pre>\n<b>输入:</b>\nDepartment table:\n+------+---------+-------+\n| id | revenue | month |\n+------+---------+-------+\n| 1 | 8000 | Jan |\n| 2 | 9000 | Jan |\n| 3 | 10000 | Feb |\n| 1 | 7000 | Feb |\n| 1 | 6000 | Mar |\n+------+---------+-------+\n<b>输出:</b>\n+------+-------------+-------------+-------------+-----+-------------+\n| id | Jan_Revenue | Feb_Revenue | Mar_Revenue | ... | Dec_Revenue |\n+------+-------------+-------------+-------------+-----+-------------+\n| 1 | 8000 | 7000 | 6000 | ... | null |\n| 2 | 9000 | null | null | ... | null |\n| 3 | null | 10000 | null | ... | null |\n+------+-------------+-------------+-------------+-----+-------------+\n<b>解释:</b>四月到十二月的收入为空。 \n请注意结果表共有 13 列1 列用于部门 ID其余 12 列用于各个月份)。</pre>\n",
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"code": "import pandas as pd\n\ndef reformat_table(department: pd.DataFrame) -> pd.DataFrame:\n ",
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"sampleTestCase": "{\"headers\":{\"Department\":[\"id\",\"revenue\",\"month\"]},\"rows\":{\"Department\":[[1,8000,\"Jan\"],[2,9000,\"Jan\"],[3,10000,\"Feb\"],[1,7000,\"Feb\"],[1,6000,\"Mar\"]]}}",
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"insert into Department (id, revenue, month) values ('2', '9000', 'Jan')",
"insert into Department (id, revenue, month) values ('3', '10000', 'Feb')",
"insert into Department (id, revenue, month) values ('1', '7000', 'Feb')",
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