Last updated on March 10th, 2025 at 10:50 pm

Here, we see a Reformat Department Table LeetCode Solution. This Leetcode problem is solved using MySQL and Pandas.

List of all LeetCode Solution

Level of Question

Easy

Reformat Department Table LeetCode Solution

1. Problem Statement

Column Name	Type
id	int
revenue	int
month	varchar

In SQL,(id, month) is the primary key of this table. The table has information about the revenue of each department per month.
The month has values in [“Jan”,”Feb”,”Mar”,”Apr”,”May”,”Jun”,”Jul”,”Aug”,”Sep”,”Oct”,”Nov”,”Dec”].

Reformat the table such that there is a department id column and a revenue column for each month.

Return the result table in any order.

The result format is in the following example.

Example 1:
Input:

id	revenue	month
1	8000	Jan
2	9000	Jan
3	10000	Feb
1	7000	Feb
1	6000	Mar

Output:

id	Jan_Revenue	Feb_Revenue	Mar_Revenue	…	Dec_Revenue
1	8000	7000	6000	…	null
2	9000	null	null	…	null
3	null	10000	null	…	null

Explanation: The revenue from Apr to Dec is null. Note that the result table has 13 columns (1 for the department id + 12 for the months).

2. Code Implementation in Different Languages

2.1 Reformat Department Table MySQL

select 
  id, 
  sum(
    if(month = 'Jan', revenue, null)
  ) as Jan_Revenue, 
  sum(
    if(month = 'Feb', revenue, null)
  ) as Feb_Revenue, 
  sum(
    if(month = 'Mar', revenue, null)
  ) as Mar_Revenue, 
  sum(
    if(month = 'Apr', revenue, null)
  ) as Apr_Revenue, 
  sum(
    if(month = 'May', revenue, null)
  ) as May_Revenue, 
  sum(
    if(month = 'Jun', revenue, null)
  ) as Jun_Revenue, 
  sum(
    if(month = 'Jul', revenue, null)
  ) as Jul_Revenue, 
  sum(
    if(month = 'Aug', revenue, null)
  ) as Aug_Revenue, 
  sum(
    if(month = 'Sep', revenue, null)
  ) as Sep_Revenue, 
  sum(
    if(month = 'Oct', revenue, null)
  ) as Oct_Revenue, 
  sum(
    if(month = 'Nov', revenue, null)
  ) as Nov_Revenue, 
  sum(
    if(month = 'Dec', revenue, null)
  ) as Dec_Revenue 
from 
  Department 
group by 
  id;