2890. Reshape Data: Melt LeetCode Solution

In this guide, you will get 2890. Reshape Data: Melt LeetCode Solution with the best time and space complexity. The solution to Reshape Data: Melt problem is provided in various programming languages like C++, Java, and Python. This will be helpful for you if you are preparing for placements, hackathons, interviews, or practice purposes. The solutions provided here are very easy to follow and include detailed explanations.

Table of Contents

1. Problem Statement
2. Complexity Analysis
3. Reshape Data: Melt solution in C++
4. Reshape Data: Melt solution in Java
5. Reshape Data: Melt solution in Python
6. Additional Resources

Problem Statement of Reshape Data: Melt

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 not found

Constraints not found

Complexity Analysis

• Time Complexity: Google AdSense
• Space Complexity: Google Analytics

2890. Reshape Data: Melt LeetCode Solution in C++

import pandas as pd


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

2890. Reshape Data: Melt LeetCode Solution in Java

N/A
// code provided by PROGIEZ

2890. Reshape Data: Melt LeetCode Solution in Python

N/A
 # code by PROGIEZ

Additional Resources

• Explore all LeetCode problem solutions at Progiez here
• Explore all problems on LeetCode website here

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