2889. Reshape Data: Pivot LeetCode Solution

In this guide, you will get 2889. Reshape Data: Pivot LeetCode Solution with the best time and space complexity. The solution to Reshape Data: Pivot 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: Pivot solution in C++
4. Reshape Data: Pivot solution in Java
5. Reshape Data: Pivot solution in Python
6. Additional Resources

Problem Statement of Reshape Data: Pivot

DataFrame weather
+————-+——–+
| Column Name | Type |
+————-+——–+
| city | object |
| month | object |
| temperature | int |
+————-+——–+

Write a solution to pivot the data so that each row represents temperatures for a specific month, and each city is a separate column.
The result format is in the following example.

Example not found

Constraints not found

Complexity Analysis

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

2889. Reshape Data: Pivot LeetCode Solution in C++

import pandas as pd


def pivotTable(weather: pd.DataFrame) -> pd.DataFrame:
  return weather.pivot_table(
      index='month',
      columns='city',
      values='temperature',
      aggfunc='max',
  )
/* code provided by PROGIEZ */

2889. Reshape Data: Pivot LeetCode Solution in Java

N/A
// code provided by PROGIEZ

2889. Reshape Data: Pivot 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

Happy Coding! Keep following PROGIEZ for more updates and solutions.