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小墨
2023-12-09 18:42:21 +08:00
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leetcode/originData/create-a-new-column.json
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@@ -6,17 +6,17 @@
"boundTopicId": null,
"title": "Create a New Column",
"titleSlug": "create-a-new-column",
"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 | 593 | 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",
"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": null,
"translatedContent": null,
"isPaidOnly": false,
"difficulty": "Easy",
"likes": 5,
"dislikes": 2,
"likes": 26,
"dislikes": 4,
"isLiked": null,
"similarQuestions": "[]",
"exampleTestcases": "{\"headers\":{\"employees\":[\"name\",\"salary\"]},\"rows\":{\"employees\":[[\"Piper\",4548],[\"Grace\",28150],[\"Georgia\",1103],[\"Willow\",6593],[\"Finn\",74576],[\"Thomas\",24433]]}}",
"categoryTitle": "Algorithms",
"categoryTitle": "pandas",
"contributors": [],
"topicTags": [],
"companyTagStats": null,
@@ -28,7 +28,7 @@
"__typename": "CodeSnippetNode"
}
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"stats": "{\"totalAccepted\": \"315\", \"totalSubmission\": \"337\", \"totalAcceptedRaw\": 315, \"totalSubmissionRaw\": 337, \"acRate\": \"93.5%\"}",
"stats": "{\"totalAccepted\": \"12.4K\", \"totalSubmission\": \"14K\", \"totalAcceptedRaw\": 12356, \"totalSubmissionRaw\": 13959, \"acRate\": \"88.5%\"}",
"hints": [
"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."
],
@@ -48,7 +48,7 @@
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"enableRunCode": true,
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"enableDebugger": true,
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"envInfo": "{\"pythondata\": [\"Pandas\", \"<p>Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0</p>\"]}",
"libraryUrl": null,
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