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42 lines
1.0 KiB
HTML
42 lines
1.0 KiB
HTML
<pre>
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DataFrame students
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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>在 <code>name</code> 列里有一些具有缺失值的行。</p>
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<p>编写一个解决方案，删除具有缺失值的行。</p>
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<p>返回结果格式如下示例所示。</p>
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<p> </p>
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<p><b>示例 1:</b></p>
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<pre>
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<strong>输入：
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</strong>+------------+---------+-----+
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| student_id | name | age |
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+------------+---------+-----+
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| 32 | Piper | 5 |
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| 217 | None | 19 |
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| 779 | Georgia | 20 |
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| 849 | Willow | 14 |
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+------------+---------+-----+
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<strong>输出：
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</strong>+------------+---------+-----+
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| student_id | name | age |
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+------------+---------+-----+
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| 32 | Piper | 5 |
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| 779 | Georgia | 20 |
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| 849 | Willow | 14 |
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+------------+---------+-----+
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<b>解释：
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</b>学号为 217 的学生所在行在 name 列中有空值，因此这一行将被删除。</pre>
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