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2890\. Reshape Data: Melt

Easy

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. 




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