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40 lines
1.2 KiB
HTML
40 lines
1.2 KiB
HTML
<pre>
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DataFrame <code>products</code>
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+-------------+--------+
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| Column Name | Type |
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+-------------+--------+
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| name | object |
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| quantity | int |
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| price | int |
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+-------------+--------+
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</pre>
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<p>编写一个解决方案，在 <code>quantity</code> 列中将缺失的值填充为 <code><strong>0</strong></code>。</p>
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<p>返回结果如下示例所示。</p>
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<p> </p>
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<strong class="example">示例 1：</strong>
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<pre>
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<strong>输入：
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</strong>+-----------------+----------+-------+
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| name | quantity | price |
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+-----------------+----------+-------+
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| Wristwatch | 32 | 135 |
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| WirelessEarbuds | None | 821 |
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| GolfClubs | None | 9319 |
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| Printer | 849 | 3051 |
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+-----------------+----------+-------+
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<strong>输出：
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</strong>+-----------------+----------+-------+
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| name | quantity | price |
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+-----------------+----------+-------+
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| Wristwatch | 32 | 135 |
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| WirelessEarbuds | 0 | 821 |
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| GolfClubs | 0 | 9319 |
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| Printer | 849 | 3051 |
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+-----------------+----------+-------+
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<b>解释：</b>
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Toaster 和 Headphones 的数量被填充为 0。</pre>
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