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59 lines
4.1 KiB
JSON
59 lines
4.1 KiB
JSON
{
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"question": {
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"questionId": "3066",
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"questionFrontendId": "2881",
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"boundTopicId": null,
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"title": "Create a New Column",
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"titleSlug": "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 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> </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",
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"difficulty": "Easy",
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"exampleTestcases": "{\"headers\":{\"employees\":[\"name\",\"salary\"]},\"rows\":{\"employees\":[[\"Piper\",4548],[\"Grace\",28150],[\"Georgia\",1103],[\"Willow\",6593],[\"Finn\",74576],[\"Thomas\",24433]]}}",
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"categoryTitle": "pandas",
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{
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"lang": "Pandas",
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"langSlug": "pythondata",
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"code": "import pandas as pd\n\ndef createBonusColumn(employees: pd.DataFrame) -> pd.DataFrame:\n ",
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"hints": [
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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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],
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"solution": {
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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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