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46 lines
1.5 KiB
HTML
46 lines
1.5 KiB
HTML
<pre>
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DataFrame <code>report</code>
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+-------------+--------+
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| Column Name | Type |
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+-------------+--------+
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| product | object |
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| quarter_1 | int |
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| quarter_2 | int |
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| quarter_3 | int |
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| quarter_4 | int |
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+-------------+--------+
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</pre>
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<p>编写一个解决方案，将数据 <strong>重塑</strong> 成每一行表示特定季度产品销售数据的形式。</p>
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<p>结果格式如下例所示：</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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</strong>+-------------+-----------+-----------+-----------+-----------+
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| product | quarter_1 | quarter_2 | quarter_3 | quarter_4 |
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+-------------+-----------+-----------+-----------+-----------+
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| Umbrella | 417 | 224 | 379 | 611 |
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| SleepingBag | 800 | 936 | 93 | 875 |
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+-------------+-----------+-----------+-----------+-----------+
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<strong>输出：</strong>
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+-------------+-----------+-------+
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| product | quarter | sales |
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+-------------+-----------+-------+
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| Umbrella | quarter_1 | 417 |
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| SleepingBag | quarter_1 | 800 |
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| Umbrella | quarter_2 | 224 |
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| SleepingBag | quarter_2 | 936 |
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| Umbrella | quarter_3 | 379 |
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| SleepingBag | quarter_3 | 93 |
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| Umbrella | quarter_4 | 611 |
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| SleepingBag | quarter_4 | 875 |
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+-------------+-----------+-------+
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<strong>解释：</strong>
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DataFrame 已从宽格式重塑为长格式。每一行表示一个季度内产品的销售情况。
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</pre>
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