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"questionId" : "3067" ,
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"categoryTitle" : "pandas" ,
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"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> </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" ,
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"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> <code>salary</code> 列。</p>\n\n<p>返回结果格式如下示例所示。</p>\n\n<p> </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" ,
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"code" : "import pandas as pd\n\ndef modifySalaryColumn(employees: pd.DataFrame) -> pd.DataFrame:\n " ,
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"Considering multiplying each salary value by 2, using a simple assignment operation. The calculation of the value is done column-wise."
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"sampleTestCase" : "{\"headers\":{\"employees\":[\"name\",\"salary\"]},\"rows\":{\"employees\":[[\"Jack\",19666],[\"Piper\",74754],[\"Mia\",62509],[\"Ulysses\",54866]]}}" ,
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