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<pre>
DataFrame <code>products</code>
+-------------+--------+
| Column Name | Type |
+-------------+--------+
| name | object |
| quantity | int |
| price | int |
+-------------+--------+
</pre>
<p>Write a solution to fill in the missing value as <code><strong>0</strong></code> in the <code>quantity</code> column.</p>
<p>The result format is in the following example.</p>
<p>&nbsp;</p>
<pre>
<strong class="example">Example 1:</strong>
<strong>Input:</strong>+-----------------+----------+-------+
| name | quantity | price |
+-----------------+----------+-------+
| Wristwatch | 32 | 135 |
| WirelessEarbuds | None | 821 |
| GolfClubs | None | 9319 |
| Printer | 849 | 3051 |
+-----------------+----------+-------+
<strong>Output:
</strong>+-----------------+----------+-------+
| name | quantity | price |
+-----------------+----------+-------+
| Wristwatch | 32 | 135 |
| WirelessEarbuds | 0 | 821 |
| GolfClubs | 0 | 9319 |
| Printer | 849 | 3051 |
+-----------------+----------+-------+
<strong>Explanation:</strong>
The quantity for Toaster and Headphones are filled by 0.</pre>