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leetcode/originData/modify-columns.json

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+{
+    "data": {
+        "question": {
+            "questionId": "3067",
+            "questionFrontendId": "2884",
+            "boundTopicId": null,
+            "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": 6,
+            "dislikes": 1,
+            "isLiked": null,
+            "similarQuestions": "[]",
+            "exampleTestcases": "{\"headers\":{\"employees\":[\"name\",\"salary\"]},\"rows\":{\"employees\":[[\"Jack\",19666],[\"Piper\",74754],[\"Mia\",62509],[\"Ulysses\",54866]]}}",
+            "categoryTitle": "Algorithms",
+            "contributors": [],
+            "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\": \"292\", \"totalSubmission\": \"310\", \"totalAcceptedRaw\": 292, \"totalSubmissionRaw\": 310, \"acRate\": \"94.2%\"}",
+            "hints": [
+                "Considering multiplying each salary value by 2, using a simple assignment operation. The calculation of the value is done column-wise."
+            ],
+            "solution": {
+                "id": "2110",
+                "canSeeDetail": true,
+                "paidOnly": false,
+                "hasVideoSolution": false,
+                "paidOnlyVideo": true,
+                "__typename": "ArticleNode"
+            },
+            "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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+            "enableRunCode": true,
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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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+            "challengeQuestion": null,
+            "__typename": "QuestionNode"
+        }
+    }
+}