README.md

comments	difficulty	edit_url	tags
true	简单	https://github.com/doocs/leetcode/edit/main/solution/2800-2899/2890.Reshape%20Data%20Melt/README.md	Pandas

2890. 重塑数据：融合

English Version

题目描述

DataFrame report
+-------------+--------+
| Column Name | Type   |
+-------------+--------+
| product     | object |
| quarter_1   | int    |
| quarter_2   | int    |
| quarter_3   | int    |
| quarter_4   | int    |
+-------------+--------+

编写一个解决方案，将数据 重塑 成每一行表示特定季度产品销售数据的形式。

结果格式如下例所示：

 

示例 1：

输入：
+-------------+-----------+-----------+-----------+-----------+
| product     | quarter_1 | quarter_2 | quarter_3 | quarter_4 |
+-------------+-----------+-----------+-----------+-----------+
| Umbrella    | 417       | 224       | 379       | 611       |
| SleepingBag | 800       | 936       | 93        | 875       |
+-------------+-----------+-----------+-----------+-----------+
输出：
+-------------+-----------+-------+
| product     | quarter   | sales |
+-------------+-----------+-------+
| Umbrella    | quarter_1 | 417   |
| SleepingBag | quarter_1 | 800   |
| Umbrella    | quarter_2 | 224   |
| SleepingBag | quarter_2 | 936   |
| Umbrella    | quarter_3 | 379   |
| SleepingBag | quarter_3 | 93    |
| Umbrella    | quarter_4 | 611   |
| SleepingBag | quarter_4 | 875   |
+-------------+-----------+-------+
解释：
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。

解法

方法一

Python3

import pandas as pd


def meltTable(report: pd.DataFrame) -> pd.DataFrame:
    return pd.melt(report, id_vars=['product'], var_name='quarter', value_name='sales')