{
    "data": {
        "question": {
            "questionId": "3064",
            "questionFrontendId": "2888",
            "categoryTitle": "pandas",
            "boundTopicId": 2453767,
            "title": "Reshape Data: Concatenate",
            "titleSlug": "reshape-data-concatenate",
            "content": "<pre>\nDataFrame <code>df1</code>\n+-------------+--------+\n| Column Name | Type   |\n+-------------+--------+\n| student_id  | int    |\n| name        | object |\n| age         | int    |\n+-------------+--------+\n\nDataFrame <code>df2</code>\n+-------------+--------+\n| Column Name | Type   |\n+-------------+--------+\n| student_id  | int    |\n| name        | object |\n| age         | int    |\n+-------------+--------+\n\n</pre>\n\n<p>Write a solution to concatenate these two DataFrames <strong>vertically</strong> into one DataFrame.</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:\ndf1</strong>\n+------------+---------+-----+\n| student_id | name    | age |\n+------------+---------+-----+\n| 1          | Mason   | 8   |\n| 2          | Ava     | 6   |\n| 3          | Taylor  | 15  |\n| 4          | Georgia | 17  |\n+------------+---------+-----+\n<strong>df2\n</strong>+------------+------+-----+\n| student_id | name | age |\n+------------+------+-----+\n| 5          | Leo  | 7   |\n| 6          | Alex | 7   |\n+------------+------+-----+\n<strong>Output:</strong>\n+------------+---------+-----+\n| student_id | name    | age |\n+------------+---------+-----+\n| 1          | Mason   | 8   |\n| 2          | Ava     | 6   |\n| 3          | Taylor  | 15  |\n| 4          | Georgia | 17  |\n| 5          | Leo     | 7   |\n| 6          | Alex    | 7   |\n+------------+---------+-----+\n<strong>Explanation:\n</strong>The two DataFramess are stacked vertically, and their rows are combined.</pre>\n",
            "translatedTitle": "重塑数据：连结",
            "translatedContent": "<pre>\nDataFrame <code>df1</code>\n+-------------+--------+\n| Column Name | Type   |\n+-------------+--------+\n| student_id  | int    |\n| name        | object |\n| age         | int    |\n+-------------+--------+\n\nDataFrame <code>df2</code>\n+-------------+--------+\n| Column Name | Type   |\n+-------------+--------+\n| student_id  | int    |\n| name        | object |\n| age         | int    |\n+-------------+--------+\n\n</pre>\n\n<p>编写一个解决方案，将两个&nbsp;DataFrames <b>垂直 </b>连接成一个&nbsp;DataFrame。</p>\n\n<p>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：\ndf1</strong>\n+------------+---------+-----+\n| student_id | name    | age |\n+------------+---------+-----+\n| 1          | Mason   | 8   |\n| 2          | Ava     | 6   |\n| 3          | Taylor  | 15  |\n| 4          | Georgia | 17  |\n+------------+---------+-----+\n<strong>df2\n</strong>+------------+------+-----+\n| student_id | name | age |\n+------------+------+-----+\n| 5          | Leo  | 7   |\n| 6          | Alex | 7   |\n+------------+------+-----+\n<b>输出：</b>\n+------------+---------+-----+\n| student_id | name    | age |\n+------------+---------+-----+\n| 1          | Mason   | 8   |\n| 2          | Ava     | 6   |\n| 3          | Taylor  | 15  |\n| 4          | Georgia | 17  |\n| 5          | Leo     | 7   |\n| 6          | Alex    | 7   |\n+------------+---------+-----+\n<strong>解释：\n</strong>两个 DataFrame 被垂直堆叠，它们的行被合并。</pre>\n",
            "isPaidOnly": false,
            "difficulty": "Easy",
            "likes": 0,
            "dislikes": 0,
            "isLiked": null,
            "similarQuestions": "[]",
            "contributors": [],
            "langToValidPlayground": "{\"cpp\": false, \"java\": false, \"python\": false, \"python3\": false, \"mysql\": false, \"mssql\": false, \"oraclesql\": false, \"c\": false, \"csharp\": false, \"javascript\": false, \"typescript\": false, \"bash\": false, \"php\": false, \"swift\": false, \"kotlin\": false, \"dart\": false, \"golang\": false, \"ruby\": false, \"scala\": false, \"html\": false, \"pythonml\": false, \"rust\": false, \"racket\": false, \"erlang\": false, \"elixir\": false, \"pythondata\": false, \"react\": false, \"vanillajs\": false, \"postgresql\": false}",
            "topicTags": [],
            "companyTagStats": null,
            "codeSnippets": [
                {
                    "lang": "Pandas",
                    "langSlug": "pythondata",
                    "code": "import pandas as pd\n\ndef concatenateTables(df1: pd.DataFrame, df2: pd.DataFrame) -> pd.DataFrame:\n    ",
                    "__typename": "CodeSnippetNode"
                }
            ],
            "stats": "{\"totalAccepted\": \"1.3K\", \"totalSubmission\": \"1.5K\", \"totalAcceptedRaw\": 1315, \"totalSubmissionRaw\": 1522, \"acRate\": \"86.4%\"}",
            "hints": [
                "Consider using a built-in function in pandas library with the appropriate axis argument."
            ],
            "solution": null,
            "status": null,
            "sampleTestCase": "{\"headers\":{\"df1\":[\"student_id\",\"name\",\"age\"],\"df2\":[\"student_id\",\"name\",\"age\"]},\"rows\":{\"df1\":[[1,\"Mason\",8],[2,\"Ava\",6],[3,\"Taylor\",15],[4,\"Georgia\",17]],\"df2\":[[5,\"Leo\",7],[6,\"Alex\",7]]}}",
            "metaData": "{\n  \"pythondata\": [\n    \"df1 = pd.DataFrame([], columns=['student_id', 'name', 'age']).astype({'student_id':'Int64', 'name':'object', 'age':'Int64'})\",\n    \"df2 = pd.DataFrame([], columns=['student_id', 'name', 'age']).astype({'student_id':'Int64', 'name':'object', 'age':'Int64'})\"\n  ],\n  \"database\": true,\n  \"name\": \"concatenateTables\",\n  \"languages\": [\n    \"pythondata\"\n  ]\n}",
            "judgerAvailable": true,
            "judgeType": "large",
            "mysqlSchemas": [],
            "enableRunCode": true,
            "envInfo": "{\"pythondata\":[\"Pandas\",\"<p>Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0<\\/p>\"]}",
            "book": null,
            "isSubscribed": false,
            "isDailyQuestion": false,
            "dailyRecordStatus": null,
            "editorType": "CKEDITOR",
            "ugcQuestionId": null,
            "style": "LEETCODE",
            "exampleTestcases": "{\"headers\":{\"df1\":[\"student_id\",\"name\",\"age\"],\"df2\":[\"student_id\",\"name\",\"age\"]},\"rows\":{\"df1\":[[1,\"Mason\",8],[2,\"Ava\",6],[3,\"Taylor\",15],[4,\"Georgia\",17]],\"df2\":[[5,\"Leo\",7],[6,\"Alex\",7]]}}",
            "__typename": "QuestionNode"
        }
    }
}