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95 lines
6.5 KiB
JSON
95 lines
6.5 KiB
JSON
{
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"data": {
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"question": {
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"questionId": "197",
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"questionFrontendId": "197",
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"boundTopicId": null,
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"title": "Rising Temperature",
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"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> </p>\n\n<p>Write a solution to find all dates' <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> </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 -> 25).\nIn 2015-01-04, the temperature was higher than the previous day (20 -> 30).\n</pre>\n",
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"translatedTitle": null,
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"difficulty": "Easy",
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"likes": 2480,
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"similarQuestions": "[]",
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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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"categoryTitle": "Database",
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"contributors": [],
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{
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"name": "Database",
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{
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"lang": "MySQL",
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"langSlug": "mysql",
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"code": "# Write your MySQL query statement below\n",
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},
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{
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"lang": "MS SQL Server",
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"langSlug": "mssql",
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"code": "/* Write your T-SQL query statement below */\n",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "Oracle",
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"langSlug": "oraclesql",
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"code": "/* Write your PL/SQL query statement below */\n",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "Pandas",
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"langSlug": "pythondata",
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"code": "import pandas as pd\n\ndef rising_temperature(weather: pd.DataFrame) -> pd.DataFrame:\n ",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "PostgreSQL",
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"langSlug": "postgresql",
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"code": "-- Write your PostgreSQL query statement below\n",
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"__typename": "CodeSnippetNode"
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}
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],
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"hints": [],
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"solution": {
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"status": null,
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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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"metaData": "{\"mysql\": [\"Create table If Not Exists Weather (id int, recordDate date, temperature int)\"], \"mssql\": [\"Create table Weather (id int, recordDate date, temperature int)\"], \"oraclesql\": [\"Create table Weather (id int, recordDate date, temperature int)\", \"ALTER SESSION SET nls_date_format='YYYY-MM-DD'\"], \"database\": true, \"name\": \"rising_temperature\", \"pythondata\": [\"Weather = pd.DataFrame([], columns=['id', 'recordDate', 'temperature']).astype({'id':'Int64', 'recordDate':'datetime64[ns]', 'temperature':'Int64'})\"], \"postgresql\": [\"Create table If Not Exists Weather (id int, recordDate date, temperature int)\"], \"database_schema\": {\"Weather\": {\"id\": \"INT\", \"recordDate\": \"DATE\", \"temperature\": \"INT\"}}}",
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"judgeType": "large",
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"mysqlSchemas": [
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"Create table If Not Exists Weather (id int, recordDate date, temperature int)",
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"Truncate table Weather",
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"insert into Weather (id, recordDate, temperature) values ('1', '2015-01-01', '10')",
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"insert into Weather (id, recordDate, temperature) values ('2', '2015-01-02', '25')",
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"insert into Weather (id, recordDate, temperature) values ('3', '2015-01-03', '20')",
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"insert into Weather (id, recordDate, temperature) values ('4', '2015-01-04', '30')"
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],
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"enableRunCode": true,
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"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>\"]}",
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