{ "data": { "question": { "questionId": "3062", "questionFrontendId": "2877", "boundTopicId": null, "title": "Create a DataFrame from List", "titleSlug": "create-a-dataframe-from-list", "content": "

Write a solution to create a DataFrame from a 2D list called student_data. This 2D list contains the IDs and ages of some students.

\n\n

The DataFrame should have two columns, student_id and age, and be in the same order as the original 2D list.

\n\n

The result format is in the following example.

\n\n

 

\n

Example 1:

\n\n
\nInput:\nstudent_data:\n[\n  [1, 15],\n  [2, 11],\n  [3, 11],\n  [4, 20]\n]\nOutput:\n+------------+-----+\n| student_id | age |\n+------------+-----+\n| 1          | 15  |\n| 2          | 11  |\n| 3          | 11  |\n| 4          | 20  |\n+------------+-----+\nExplanation:\nA DataFrame was created on top of student_data, with two columns named student_id and age.\n
\n", "translatedTitle": null, "translatedContent": null, "isPaidOnly": false, "difficulty": "Easy", "likes": 72, "dislikes": 2, "isLiked": null, "similarQuestions": "[]", "exampleTestcases": "[[1,15],[2,11],[3,11],[4,20]]", "categoryTitle": "pandas", "contributors": [], "topicTags": [], "companyTagStats": null, "codeSnippets": [ { "lang": "Pandas", "langSlug": "pythondata", "code": "import pandas as pd\n\ndef createDataframe(student_data: List[List[int]]) -> pd.DataFrame:\n ", "__typename": "CodeSnippetNode" } ], "stats": "{\"totalAccepted\": \"19.6K\", \"totalSubmission\": \"24.6K\", \"totalAcceptedRaw\": 19580, \"totalSubmissionRaw\": 24622, \"acRate\": \"79.5%\"}", "hints": [ "Consider using a built-in function in pandas library and specifying the column names within it." ], "solution": { "id": "2099", "canSeeDetail": true, "paidOnly": false, "hasVideoSolution": false, "paidOnlyVideo": true, "__typename": "ArticleNode" }, "status": null, "sampleTestCase": "[[1,15],[2,11],[3,11],[4,20]]", "metaData": "{\n \"name\": \"create_a_dataframe\",\n \"params\": [\n {\n \"name\": \"student_data\",\n \"type\": \"list>\"\n }\n ],\n \"return\": {\n \"type\": \"DataFrame\"\n },\n \"data\": true,\n \"manual\": true\n}", "judgerAvailable": true, "judgeType": "large", "mysqlSchemas": [], "enableRunCode": true, "enableTestMode": false, "enableDebugger": false, "envInfo": "{\"pythondata\": [\"Pandas\", \"

Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0

\"]}", "libraryUrl": null, "adminUrl": null, "challengeQuestion": null, "__typename": "QuestionNode" } } }