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            "questionId": "3065",
            "questionFrontendId": "2879",
            "categoryTitle": "pandas",
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            "title": "Display the First Three Rows",
            "titleSlug": "display-the-first-three-rows",
            "content": "<pre>\nDataFrame: <code>employees</code>\n+-------------+--------+\n| Column Name | Type   |\n+-------------+--------+\n| employee_id | int    |\n| name        | object |\n| department  | object |\n| salary      | int    |\n+-------------+--------+\n</pre>\n\n<p>Write a solution to display the <strong>first <code>3</code> </strong>rows<strong> </strong>of this DataFrame.</p>\n\n<p>&nbsp;</p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:\n</strong>DataFrame employees\n+-------------+-----------+-----------------------+--------+\n| employee_id | name      | department            | salary |\n+-------------+-----------+-----------------------+--------+\n| 3           | Bob       | Operations            | 48675  |\n| 90          | Alice     | Sales                 | 11096  |\n| 9           | Tatiana   | Engineering           | 33805  |\n| 60          | Annabelle | InformationTechnology | 37678  |\n| 49          | Jonathan  | HumanResources        | 23793  |\n| 43          | Khaled    | Administration        | 40454  |\n+-------------+-----------+-----------------------+--------+\n<strong>Output:</strong>\n+-------------+---------+-------------+--------+\n| employee_id | name    | department  | salary |\n+-------------+---------+-------------+--------+\n| 3           | Bob     | Operations  | 48675  |\n| 90          | Alice   | Sales       | 11096  |\n| 9           | Tatiana | Engineering | 33805  |\n+-------------+---------+-------------+--------+\n<strong>Explanation:</strong> \nOnly the first 3 rows are displayed.</pre>\n",
            "translatedTitle": "显示前三行",
            "translatedContent": "<pre>\nDataFrame: <code>employees</code>\n+-------------+--------+\n| Column Name | Type   |\n+-------------+--------+\n| employee_id | int    |\n| name        | object |\n| department  | object |\n| salary      | int    |\n+-------------+--------+\n</pre>\n\n<p>编写一个解决方案，显示这个 DataFrame 的<strong> 前&nbsp;&nbsp;<code>3</code>&nbsp;</strong>行。</p>\n\n<p>&nbsp;</p>\n\n<p><b>示例 1:</b></p>\n\n<pre>\n<strong>输入：\n</strong>DataFrame employees\n+-------------+-----------+-----------------------+--------+\n| employee_id | name      | department            | salary |\n+-------------+-----------+-----------------------+--------+\n| 3           | Bob       | Operations            | 48675  |\n| 90          | Alice     | Sales                 | 11096  |\n| 9           | Tatiana   | Engineering           | 33805  |\n| 60          | Annabelle | InformationTechnology | 37678  |\n| 49          | Jonathan  | HumanResources        | 23793  |\n| 43          | Khaled    | Administration        | 40454  |\n+-------------+-----------+-----------------------+--------+\n<b>输出：</b>\n+-------------+---------+-------------+--------+\n| employee_id | name    | department  | salary |\n+-------------+---------+-------------+--------+\n| 3           | Bob     | Operations  | 48675  |\n| 90          | Alice   | Sales       | 11096  |\n| 9           | Tatiana | Engineering | 33805  |\n+-------------+---------+-------------+--------+\n<b>解释：</b>\n只有前 3 行被显示。</pre>\n",
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                    "code": "import pandas as pd\n\ndef selectFirstRows(employees: pd.DataFrame) -> pd.DataFrame:\n    ",
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                "Consider using a built-in function in pandas library to retrieve the initial rows."
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            "sampleTestCase": "{\"headers\":{\"employees\":[\"employee_id\",\"name\",\"department\",\"salary\"]},\"rows\":{\"employees\":[[3,\"Bob\",\"Operations\",48675],[90,\"Alice\",\"Sales\",11096],[9,\"Tatiana\",\"Engineering\",33805],[60,\"Annabelle\",\"InformationTechnology\",37678],[49,\"Jonathan\",\"HumanResources\",23793],[43,\"Khaled\",\"Administration\",40454]]}}",
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