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{
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"question": {
"questionId": "197",
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"categoryTitle": "Database",
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"title": "Rising Temperature",
"titleSlug": "rising-temperature",
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"content": "<p>Table: <code>Weather</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| id | int |\n| recordDate | date |\n| temperature | int |\n+---------------+---------+\nid is the column with unique values for this table.\nThis table contains information about the temperature on a certain day.\n</pre>\n\n<p>&nbsp;</p>\n\n<p>Write a solution to find all dates&#39; <code>Id</code> with higher temperatures compared to its previous dates (yesterday).</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> \nWeather table:\n+----+------------+-------------+\n| id | recordDate | temperature |\n+----+------------+-------------+\n| 1 | 2015-01-01 | 10 |\n| 2 | 2015-01-02 | 25 |\n| 3 | 2015-01-03 | 20 |\n| 4 | 2015-01-04 | 30 |\n+----+------------+-------------+\n<strong>Output:</strong> \n+----+\n| id |\n+----+\n| 2 |\n| 4 |\n+----+\n<strong>Explanation:</strong> \nIn 2015-01-02, the temperature was higher than the previous day (10 -&gt; 25).\nIn 2015-01-04, the temperature was higher than the previous day (20 -&gt; 30).\n</pre>\n",
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"translatedTitle": "上升的温度",
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"translatedContent": "<div class=\"original__bRMd\">\n<div>\n<p>表:&nbsp;<code>Weather</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| id | int |\n| recordDate | date |\n| temperature | int |\n+---------------+---------+\nid 是该表具有唯一值的列。\n该表包含特定日期的温度信息</pre>\n\n<p>&nbsp;</p>\n\n<p>编写解决方案,找出与之前(昨天的)日期相比温度更高的所有日期的 <code>id</code> 。</p>\n\n<p>返回结果 <strong>无顺序要求</strong> 。</p>\n\n<p>结果格式如下例子所示。</p>\n\n<p>&nbsp;</p>\n\n<p><strong class=\"example\">示例 1</strong></p>\n\n<pre>\n<code><strong>输入:</strong>\nWeather 表:</code>\n+----+------------+-------------+\n| id | recordDate | Temperature |\n+----+------------+-------------+\n| 1 | 2015-01-01 | 10 |\n| 2 | 2015-01-02 | 25 |\n| 3 | 2015-01-03 | 20 |\n| 4 | 2015-01-04 | 30 |\n+----+------------+-------------+\n<strong>输出:</strong>\n+----+\n| id |\n+----+\n| 2 |\n| 4 |\n+----+\n<strong>解释:</strong>\n2015-01-02 的温度比前一天高10 -&gt; 25\n2015-01-04 的温度比前一天高20 -&gt; 30</pre>\n</div>\n</div>\n",
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"code": "# Write your MySQL query statement below",
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},
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"lang": "Pandas",
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"code": "import pandas as pd\n\ndef rising_temperature(weather: pd.DataFrame) -> pd.DataFrame:\n ",
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}
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"sampleTestCase": "{\"headers\": {\"Weather\": [\"id\", \"recordDate\", \"temperature\"]}, \"rows\": {\"Weather\": [[1, \"2015-01-01\", 10], [2, \"2015-01-02\", 25], [3, \"2015-01-03\", 20], [4, \"2015-01-04\", 30]]}}",
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"insert into Weather (id, recordDate, temperature) values ('3', '2015-01-03', '20')",
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"exampleTestcases": "{\"headers\": {\"Weather\": [\"id\", \"recordDate\", \"temperature\"]}, \"rows\": {\"Weather\": [[1, \"2015-01-01\", 10], [2, \"2015-01-02\", 25], [3, \"2015-01-03\", 20], [4, \"2015-01-04\", 30]]}}",
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