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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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