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            "title": "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>&nbsp;</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",
            "translatedTitle": "数据选取",
            "translatedContent": "<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>编写一个解决方案，选择&nbsp;<code>student_id = 101</code>&nbsp;的学生的 name 和 age 并输出。</p>\n\n<p>返回结果格式如下示例所示。</p>\n\n<p>&nbsp;</p>\n\n<p><strong>示例 1:</strong></p>\n\n<pre>\n<b>输入：</b>\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<b>输出：</b>\n+---------+-----+\n| name    | age | \n+---------+-----+\n| Ulysses | 13  |\n+---------+-----+\n<strong>解释：\n</strong>学生 Ulysses 的 student_id = 101，所以我们输出了他的 name 和 age。</pre>\n",
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                    "lang": "Pandas",
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                    "code": "import pandas as pd\n\ndef selectData(students: pd.DataFrame) -> pd.DataFrame:\n    ",
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            "hints": [
                "Consider applying both row and column filtering to select the desired data."
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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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