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{
"data": {
"question": {
"questionId": "3067",
"questionFrontendId": "2884",
"categoryTitle": "Algorithms",
"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": null,
"translatedContent": null,
"isPaidOnly": false,
"difficulty": "Easy",
"likes": 0,
"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": [],
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"codeSnippets": [
{
"lang": "Pandas",
"langSlug": "pythondata",
"code": "import pandas as pd\n\ndef modifySalaryColumn(employees: pd.DataFrame) -> pd.DataFrame:\n ",
"__typename": "CodeSnippetNode"
}
],
"stats": "{\"totalAccepted\": \"15\", \"totalSubmission\": \"15\", \"totalAcceptedRaw\": 15, \"totalSubmissionRaw\": 15, \"acRate\": \"100.0%\"}",
"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",
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"envInfo": "{\"pythondata\":[\"Pandas\",\"<p>Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0<\\/p>\"]}",
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"editorType": "CKEDITOR",
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"style": "LEETCODE",
"exampleTestcases": "{\"headers\":{\"employees\":[\"name\",\"salary\"]},\"rows\":{\"employees\":[[\"Jack\",19666],[\"Piper\",74754],[\"Mia\",62509],[\"Ulysses\",54866]]}}",
"__typename": "QuestionNode"
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}
}