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<pre>
DataFrame students
+-------------+--------+
| Column Name | Type |
+-------------+--------+
| student_id | int |
| name | object |
| age | int |
+-------------+--------+
</pre>
<p>There are some rows having missing values in the <code>name</code> column.</p>
<p>Write a solution to remove the rows with missing values.</p>
<p>The result format is in the following example.</p>
<p>&nbsp;</p>
<p><strong class="example">Example 1:</strong></p>
<pre>
<strong>Input:
</strong>+------------+---------+-----+
| student_id | name | age |
+------------+---------+-----+
| 32 | Piper | 5 |
| 217 | None | 19 |
| 779 | Georgia | 20 |
| 849 | Willow | 14 |
+------------+---------+-----+
<strong>Output:
</strong>+------------+---------+-----+
| student_id | name | age |
+------------+---------+-----+
| 32 | Piper | 5 |
| 779 | Georgia | 20 |
| 849 | Willow | 14 |
+------------+---------+-----+
<strong>Explanation:</strong>
Student with id 217 havs empty value in the name column, so it will be removed.</pre>