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61 lines
1.5 KiB
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61 lines
1.5 KiB
HTML
<pre>
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DataFrame <code>df1</code>
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+-------------+--------+
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| Column Name | Type |
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+-------------+--------+
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| student_id | int |
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| name | object |
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| age | int |
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+-------------+--------+
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DataFrame <code>df2</code>
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+-------------+--------+
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| Column Name | Type |
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+-------------+--------+
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| student_id | int |
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| name | object |
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| age | int |
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+-------------+--------+
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</pre>
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<p>编写一个解决方案，将两个 DataFrames <b>垂直 </b>连接成一个 DataFrame。</p>
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<p>结果格式如下示例所示。</p>
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<p> </p>
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<p><strong class="example">示例 1：</strong></p>
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<pre>
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<strong>输入：
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df1</strong>
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+------------+---------+-----+
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| student_id | name | age |
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+------------+---------+-----+
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| 1 | Mason | 8 |
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| 2 | Ava | 6 |
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| 3 | Taylor | 15 |
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| 4 | Georgia | 17 |
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+------------+---------+-----+
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<strong>df2
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</strong>+------------+------+-----+
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| student_id | name | age |
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+------------+------+-----+
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| 5 | Leo | 7 |
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| 6 | Alex | 7 |
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+------------+------+-----+
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<b>输出：</b>
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+------------+---------+-----+
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| student_id | name | age |
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+------------+---------+-----+
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| 1 | Mason | 8 |
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| 2 | Ava | 6 |
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| 3 | Taylor | 15 |
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| 4 | Georgia | 17 |
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| 5 | Leo | 7 |
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| 6 | Alex | 7 |
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+------------+---------+-----+
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<strong>解释：
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</strong>两个 DataFrame 被垂直堆叠，它们的行被合并。</pre>
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