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"translatedContent": "<pre>\nDataFrame <code>report</code>\n+-------------+--------+\n| Column Name | Type |\n+-------------+--------+\n| product | object |\n| quarter_1 | int |\n| quarter_2 | int |\n| quarter_3 | int |\n| quarter_4 | int |\n+-------------+--------+\n</pre>\n\n<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>\n\n<p>结果格式如下例所示:</p>\n\n<p> </p>\n\n<p><strong class=\"example\">示例 1:</strong></p>\n\n<pre>\n<strong>输入:\n</strong>+-------------+-----------+-----------+-----------+-----------+\n| product | quarter_1 | quarter_2 | quarter_3 | quarter_4 |\n+-------------+-----------+-----------+-----------+-----------+\n| Umbrella | 417 | 224 | 379 | 611 |\n| SleepingBag | 800 | 936 | 93 | 875 |\n+-------------+-----------+-----------+-----------+-----------+\n<strong>输出:</strong>\n+-------------+-----------+-------+\n| product | quarter | sales |\n+-------------+-----------+-------+\n| Umbrella | quarter_1 | 417 |\n| SleepingBag | quarter_1 | 800 |\n| Umbrella | quarter_2 | 224 |\n| SleepingBag | quarter_2 | 936 |\n| Umbrella | quarter_3 | 379 |\n| SleepingBag | quarter_3 | 93 |\n| Umbrella | quarter_4 | 611 |\n| SleepingBag | quarter_4 | 875 |\n+-------------+-----------+-------+\n<strong>解释:</strong>\nDataFrame 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。\n</pre>\n",
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"Consider using a built-in function in pandas library to transform the data"
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