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            "questionId": "3066",
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            "title": "Create a New Column",
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            "content": "<pre>\nDataFrame <code>employees</code>\n+-------------+--------+\n| Column Name | Type.  |\n+-------------+--------+\n| name        | object |\n| salary      | int.   |\n+-------------+--------+\n</pre>\n\n<p>A&nbsp;company plans to provide its employees with a bonus.</p>\n\n<p>Write a solution to create a new column name <code>bonus</code> that contains the <strong>doubled values</strong> of the <code>salary</code> column.</p>\n\n<p>The result format is in the following example.</p>\n\n<p>&nbsp;</p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong>\nDataFrame employees\n+---------+--------+\n| name    | salary |\n+---------+--------+\n| Piper   | 4548   |\n| Grace   | 28150  |\n| Georgia | 1103   |\n| Willow  | 6593   |\n| Finn    | 74576  |\n| Thomas  | 24433  |\n+---------+--------+\n<strong>Output:</strong>\n+---------+--------+--------+\n| name    | salary | bonus  |\n+---------+--------+--------+\n| Piper   | 4548   | 9096   |\n| Grace   | 28150  | 56300  |\n| Georgia | 1103   | 2206   |\n| Willow  | 6593   | 13186  |\n| Finn    | 74576  | 149152 |\n| Thomas  | 24433  | 48866  |\n+---------+--------+--------+\n<strong>Explanation:</strong> \nA new column bonus is created by doubling the value in the column salary.</pre>\n",
            "translatedTitle": "创建新列",
            "translatedContent": "<pre>\nDataFrame <code>employees</code>\n+-------------+--------+\n| Column Name | Type.  |\n+-------------+--------+\n| name        | object |\n| salary      | int.   |\n+-------------+--------+\n</pre>\n\n<p>一家公司计划为员工提供奖金。</p>\n\n<p>编写一个解决方案，创建一个名为&nbsp;<code>bonus</code>&nbsp;的新列，其中包含&nbsp;<code>salary</code>&nbsp;值的&nbsp;<strong>两倍</strong>。</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><b>示例 1:</b></p>\n\n<pre>\n<b>输入：</b>\nDataFrame employees\n+---------+--------+\n| name    | salary |\n+---------+--------+\n| Piper   | 4548   |\n| Grace   | 28150  |\n| Georgia | 1103   |\n| Willow  | 6593   |\n| Finn    | 74576  |\n| Thomas  | 24433  |\n+---------+--------+\n<b>输出：</b>\n+---------+--------+--------+\n| name    | salary | bonus  |\n+---------+--------+--------+\n| Piper   | 4548   | 9096   |\n| Grace   | 28150  | 56300  |\n| Georgia | 1103   | 2206   |\n| Willow  |  593   | 13186  |\n| Finn    | 74576  | 149152 |\n| Thomas  | 24433  | 48866  |\n+---------+--------+--------+\n<b>解释：</b>\n通过将 salary 列中的值加倍创建了一个新的 bonus 列。</pre>\n",
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                    "code": "import pandas as pd\n\ndef createBonusColumn(employees: pd.DataFrame) -> pd.DataFrame:\n    ",
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                "Consider using the `[]` brackets with the new column name at the left side of the assignment. The calculation of the value is done element-wise."
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            "sampleTestCase": "{\"headers\":{\"employees\":[\"name\",\"salary\"]},\"rows\":{\"employees\":[[\"Piper\",4548],[\"Grace\",28150],[\"Georgia\",1103],[\"Willow\",6593],[\"Finn\",74576],[\"Thomas\",24433]]}}",
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