leetcode-problemset/leetcode-cn/originData/reshape-data-concatenate.json

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        "question": {
            "questionId": "3064",
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            "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",
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                    "code": "import pandas as pd\n\ndef concatenateTables(df1: pd.DataFrame, df2: pd.DataFrame) -> pd.DataFrame:\n    ",
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