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            "categoryTitle": "pandas",
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            "title": "Rename Columns",
            "titleSlug": "rename-columns",
            "content": "<pre>\nDataFrame <code>students</code>\n+-------------+--------+\n| Column Name | Type   |\n+-------------+--------+\n| id          | int    |\n| first       | object |\n| last        | object |\n| age         | int    |\n+-------------+--------+\n</pre>\n\n<p>Write a solution to rename the columns as follows:</p>\n\n<ul>\n\t<li><code>id</code> to <code>student_id</code></li>\n\t<li><code>first</code> to <code>first_name</code></li>\n\t<li><code>last</code> to <code>last_name</code></li>\n\t<li><code>age</code> to <code>age_in_years</code></li>\n</ul>\n\n<p>The result format is in the following example.</p>\n\n<p>&nbsp;</p>\n<pre>\n<strong class=\"example\">Example 1:</strong>\n<strong>Input:\n</strong>+----+---------+----------+-----+\n| id | first   | last     | age |\n+----+---------+----------+-----+\n| 1  | Mason   | King     | 6   |\n| 2  | Ava     | Wright   | 7   |\n| 3  | Taylor  | Hall     | 16  |\n| 4  | Georgia | Thompson | 18  |\n| 5  | Thomas  | Moore    | 10  |\n+----+---------+----------+-----+\n<strong>Output:</strong>\n+------------+------------+-----------+--------------+\n| student_id | first_name | last_name | age_in_years |\n+------------+------------+-----------+--------------+\n| 1          | Mason      | King      | 6            |\n| 2          | Ava        | Wright    | 7            |\n| 3          | Taylor     | Hall      | 16           |\n| 4          | Georgia    | Thompson  | 18           |\n| 5          | Thomas     | Moore     | 10           |\n+------------+------------+-----------+--------------+\n<strong>Explanation:</strong> \nThe column names are changed accordingly.</pre>\n",
            "translatedTitle": "重命名列",
            "translatedContent": "<pre>\nDataFrame <code>students</code>\n+-------------+--------+\n| Column Name | Type   |\n+-------------+--------+\n| id          | int    |\n| first       | object |\n| last        | object |\n| age         | int    |\n+-------------+--------+\n</pre>\n\n<p>编写一个解决方案，按以下方式重命名列：</p>\n\n<ul>\n\t<li><code>id</code>&nbsp;重命名为&nbsp;<code>student_id</code></li>\n\t<li><code>first</code>&nbsp;重命名为&nbsp;<code>first_name</code></li>\n\t<li><code>last</code>&nbsp;重命名为&nbsp;<code>last_name</code></li>\n\t<li><code>age</code>&nbsp;重命名为&nbsp;<code>age_in_years</code></li>\n</ul>\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<strong>输入：\n</strong>+----+---------+----------+-----+\n| id | first   | last     | age |\n+----+---------+----------+-----+\n| 1  | Mason   | King     | 6   |\n| 2  | Ava     | Wright   | 7   |\n| 3  | Taylor  | Hall     | 16  |\n| 4  | Georgia | Thompson | 18  |\n| 5  | Thomas  | Moore    | 10  |\n+----+---------+----------+-----+\n<b>输出：</b>\n+------------+------------+-----------+--------------+\n| student_id | first_name | last_name | age_in_years |\n+------------+------------+-----------+--------------+\n| 1          | Mason      | King      | 6            |\n| 2          | Ava        | Wright    | 7            |\n| 3          | Taylor     | Hall      | 16           |\n| 4          | Georgia    | Thompson  | 18           |\n| 5          | Thomas     | Moore     | 10           |\n+------------+------------+-----------+--------------+\n<b>解释：</b>\n列名已相应更换。</pre>\n",
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                    "code": "import pandas as pd\n\ndef renameColumns(students: pd.DataFrame) -> pd.DataFrame:\n    ",
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                "Consider using a build-in function in pandas library with a dictionary to rename the columns as specified."
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