2890. Reshape Data Melt
Description
DataFrame report +-------------+--------+ | Column Name | Type | +-------------+--------+ | product | object | | quarter_1 | int | | quarter_2 | int | | quarter_3 | int | | quarter_4 | int | +-------------+--------+
Write a solution to reshape the data so that each row represents sales data for a product in a specific quarter.
The result format is in the following example.
Example 1:
Input: +-------------+-----------+-----------+-----------+-----------+ | product | quarter_1 | quarter_2 | quarter_3 | quarter_4 | +-------------+-----------+-----------+-----------+-----------+ | Umbrella | 417 | 224 | 379 | 611 | | SleepingBag | 800 | 936 | 93 | 875 | +-------------+-----------+-----------+-----------+-----------+ Output: +-------------+-----------+-------+ | 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 | +-------------+-----------+-------+ Explanation: The DataFrame is reshaped from wide to long format. Each row represents the sales of a product in a quarter.
Solutions
Solution 1
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