{
    "data": {
        "question": {
            "questionId": "3067",
            "questionFrontendId": "2884",
            "categoryTitle": "pandas",
            "boundTopicId": 2467492,
            "title": "Modify Columns",
            "titleSlug": "modify-columns",
            "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 company intends to give its employees a pay rise.</p>\n\n<p>Write a solution to <strong>modify</strong> the <code>salary</code> column by multiplying each salary by 2.</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:\n</strong>DataFrame employees\n+---------+--------+\n| name    | salary |\n+---------+--------+\n| Jack    | 19666  |\n| Piper   | 74754  |\n| Mia     | 62509  |\n| Ulysses | 54866  |\n+---------+--------+\n<strong>Output:\n</strong>+---------+--------+\n| name    | salary |\n+---------+--------+\n| Jack    | 39332  |\n| Piper   | 149508 |\n| Mia     | 125018 |\n| Ulysses | 109732 |\n+---------+--------+\n<strong>Explanation:\n</strong>Every salary has been doubled.</pre>\n",
            "translatedTitle": "修改列",
            "translatedContent": "<pre>\nDataFrame <code>employees</code>\n+-------------+--------+\n| Column Name | Type   |\n+-------------+--------+\n| name        | object |\n| salary      | int    |\n+-------------+--------+\n</pre>\n\n<p>一家公司决定增加员工的薪水。</p>\n\n<p>编写一个解决方案，将每个员工的薪水乘以2来 <strong>修改</strong>&nbsp;<code>salary</code>&nbsp;列。</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<strong>输入：\n</strong>DataFrame employees\n+---------+--------+\n| name    | salary |\n+---------+--------+\n| Jack    | 19666  |\n| Piper   | 74754  |\n| Mia     | 62509  |\n| Ulysses | 54866  |\n+---------+--------+\n<strong>输出：\n</strong>+---------+--------+\n| name    | salary |\n+---------+--------+\n| Jack    | 39332  |\n| Piper   | 149508 |\n| Mia     | 125018 |\n| Ulysses | 109732 |\n+---------+--------+\n<strong>解释：\n</strong>每个人的薪水都被加倍。</pre>\n",
            "isPaidOnly": false,
            "difficulty": "Easy",
            "likes": 1,
            "dislikes": 0,
            "isLiked": null,
            "similarQuestions": "[]",
            "contributors": [],
            "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}",
            "topicTags": [],
            "companyTagStats": null,
            "codeSnippets": [
                {
                    "lang": "Pandas",
                    "langSlug": "pythondata",
                    "code": "import pandas as pd\n\ndef modifySalaryColumn(employees: pd.DataFrame) -> pd.DataFrame:\n    ",
                    "__typename": "CodeSnippetNode"
                }
            ],
            "stats": "{\"totalAccepted\": \"1.5K\", \"totalSubmission\": \"1.6K\", \"totalAcceptedRaw\": 1458, \"totalSubmissionRaw\": 1580, \"acRate\": \"92.3%\"}",
            "hints": [
                "Considering multiplying each salary value by 2, using a simple assignment operation. The calculation of the value is done column-wise."
            ],
            "solution": null,
            "status": null,
            "sampleTestCase": "{\"headers\":{\"employees\":[\"name\",\"salary\"]},\"rows\":{\"employees\":[[\"Jack\",19666],[\"Piper\",74754],[\"Mia\",62509],[\"Ulysses\",54866]]}}",
            "metaData": "{\n  \"pythondata\": [\n    \"employees = pd.DataFrame([], columns=['name', 'salary']).astype({'name':'object', 'salary':'Int64'})\"\n  ],\n  \"database\": true,\n  \"name\": \"modifySalaryColumn\",\n  \"languages\": [\n    \"pythondata\"\n  ]\n}",
            "judgerAvailable": true,
            "judgeType": "large",
            "mysqlSchemas": [],
            "enableRunCode": true,
            "envInfo": "{\"pythondata\":[\"Pandas\",\"<p>Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0<\\/p>\"]}",
            "book": null,
            "isSubscribed": false,
            "isDailyQuestion": false,
            "dailyRecordStatus": null,
            "editorType": "CKEDITOR",
            "ugcQuestionId": null,
            "style": "LEETCODE",
            "exampleTestcases": "{\"headers\":{\"employees\":[\"name\",\"salary\"]},\"rows\":{\"employees\":[[\"Jack\",19666],[\"Piper\",74754],[\"Mia\",62509],[\"Ulysses\",54866]]}}",
            "__typename": "QuestionNode"
        }
    }
}