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@@ -3,16 +3,16 @@
"question": {
"questionId": "3062",
"questionFrontendId": "2877",
"categoryTitle": "Algorithms",
"categoryTitle": "pandas",
"boundTopicId": 2467481,
"title": "Create a DataFrame from List",
"titleSlug": "create-a-dataframe-from-list",
"content": "<p>Write a solution to <strong>create</strong> a DataFrame from a 2D list called <code>student_data</code>. This 2D list contains the IDs and ages of some students.</p>\n\n<p>The DataFrame should have two columns, <code>student_id</code> and <code>age</code>, and be in the same order as the original 2D list.</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>student_data:<strong>\n</strong><code>[\n [1, 15],\n [2, 11],\n [3, 11],\n [4, 20]\n]</code>\n<strong>Output:</strong>\n+------------+-----+\n| student_id | age |\n+------------+-----+\n| 1 | 15 |\n| 2 | 11 |\n| 3 | 11 |\n| 4 | 20 |\n+------------+-----+\n<strong>Explanation:</strong>\nA DataFrame was created on top of student_data, with two columns named <code>student_id</code> and <code>age</code>.\n</pre>\n",
"translatedTitle": null,
"translatedContent": null,
"translatedTitle": "从表中创建 DataFrame",
"translatedContent": "<p>编写一个解决方案,基于名为&nbsp;&nbsp;<code>student_data</code>&nbsp;的二维列表&nbsp;<b>创建 </b>一个 DataFrame 。这个二维列表包含一些学生的 ID 和年龄信息。</p>\n\n<p>DataFrame 应该有两列,&nbsp;<code>student_id</code>&nbsp;和&nbsp;<code>age</code>,并且与原始二维列表的顺序相同。</p>\n\n<p>返回结果格式如下示例所示。</p>\n\n<p>&nbsp;</p>\n\n<p><strong class=\"example\">示例 1</strong></p>\n\n<pre>\n<strong>输入:\n</strong>student_data:<strong>\n</strong><code>[\n [1, 15],\n [2, 11],\n [3, 11],\n [4, 20]\n]</code>\n<b>输出:</b>\n+------------+-----+\n| student_id | age |\n+------------+-----+\n| 1 | 15 |\n| 2 | 11 |\n| 3 | 11 |\n| 4 | 20 |\n+------------+-----+\n<b>解释:</b>\n基于 student_data 创建了一个 DataFrame包含 student_id 和 age 两列。\n</pre>\n",
"isPaidOnly": false,
"difficulty": "Easy",
"likes": 0,
"likes": 1,
"dislikes": 0,
"isLiked": null,
"similarQuestions": "[]",
@@ -28,7 +28,7 @@
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"hints": [
"Consider using a built-in function in pandas library and specifying the column names within it."
],