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leetcode-cn/originData/select-data.json
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leetcode-cn/originData/select-data.json
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{
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"data": {
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"question": {
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"questionId": "3074",
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"questionFrontendId": "100015",
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"categoryTitle": "Algorithms",
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"boundTopicId": 2467487,
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"title": "Select Data",
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"titleSlug": "select-data",
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"content": "<pre>\nDataFrame students\n+-------------+--------+\n| Column Name | Type |\n+-------------+--------+\n| student_id | int |\n| name | object |\n| age | int |\n+-------------+--------+\n\n</pre>\n\n<p>Write a solution to select the name and age of the student with <code>student_id = 101</code>.</p>\n\n<p>The result format is in the following example.</p>\n\n<p> </p>\n<pre>\n<strong>Example 1:\nInput:</strong>\n+------------+---------+-----+\n| student_id | name | age |\n+------------+---------+-----+\n| 101 | Ulysses | 13 |\n| 53 | William | 10 |\n| 128 | Henry | 6 |\n| 3 | Henry | 11 |\n+------------+---------+-----+\n<strong>Output:</strong>\n+---------+-----+\n| name | age | \n+---------+-----+\n| Ulysses | 13 |\n+---------+-----+\n<strong>Explanation:\n</strong>Student Ulysses has student_id = 101, we select the name and age.</pre>\n",
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"translatedTitle": null,
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"translatedContent": null,
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"isPaidOnly": false,
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"difficulty": "Easy",
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"likes": 0,
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"dislikes": 0,
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"isLiked": null,
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"similarQuestions": "[]",
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"contributors": [],
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"langToValidPlayground": "{\"cpp\": false, \"java\": false, \"python\": false, \"python3\": false, \"mysql\": false, \"mssql\": false, \"oraclesql\": false, \"c\": false, \"csharp\": false, \"javascript\": false, \"typescript\": false, \"bash\": false, \"php\": false, \"swift\": false, \"kotlin\": false, \"dart\": false, \"golang\": false, \"ruby\": false, \"scala\": false, \"html\": false, \"pythonml\": false, \"rust\": false, \"racket\": false, \"erlang\": false, \"elixir\": false, \"pythondata\": false, \"react\": false, \"vanillajs\": false, \"postgresql\": false}",
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"topicTags": [],
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"companyTagStats": null,
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"codeSnippets": [
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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 selectData(students: pd.DataFrame) -> pd.DataFrame:\n ",
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"__typename": "CodeSnippetNode"
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}
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],
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"stats": "{\"totalAccepted\": \"13\", \"totalSubmission\": \"13\", \"totalAcceptedRaw\": 13, \"totalSubmissionRaw\": 13, \"acRate\": \"100.0%\"}",
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"hints": [
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"Consider applying both row and column filtering to select the desired data."
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],
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"solution": null,
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"status": null,
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"sampleTestCase": "{\"headers\":{\"students\":[\"student_id\",\"name\",\"age\"]},\"rows\":{\"students\":[[101,\"Ulysses\",13],[53,\"William\",10],[128,\"Henry\",6],[3,\"Henry\",11]]}}",
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"metaData": "{\n \"pythondata\": [\n \"students = pd.DataFrame([], columns=['student_id', 'name', 'age']).astype({'student_id':'Int64', 'name':'object', 'age':'Int64'})\"\n ],\n \"database\": true,\n \"name\": \"selectData\",\n \"languages\": [\n \"pythondata\"\n ]\n}",
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"judgerAvailable": true,
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"judgeType": "large",
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"mysqlSchemas": [],
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"enableRunCode": true,
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"envInfo": "{\"pythondata\":[\"Pandas\",\"<p>Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0<\\/p>\"]}",
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"book": null,
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"dailyRecordStatus": null,
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"editorType": "CKEDITOR",
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"ugcQuestionId": null,
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"style": "LEETCODE",
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"exampleTestcases": "{\"headers\":{\"students\":[\"student_id\",\"name\",\"age\"]},\"rows\":{\"students\":[[101,\"Ulysses\",13],[53,\"William\",10],[128,\"Henry\",6],[3,\"Henry\",11]]}}",
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"__typename": "QuestionNode"
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}
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}
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}
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