2888. Reshape Data: Concatenate LeetCode Solution

In this guide, you will get 2888. Reshape Data: Concatenate LeetCode Solution with the best time and space complexity. The solution to Reshape Data: Concatenate 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: Concatenate solution in C++
  4. Reshape Data: Concatenate solution in Java
  5. Reshape Data: Concatenate solution in Python
  6. Additional Resources
2888. Reshape Data: Concatenate LeetCode Solution image

Problem Statement of Reshape Data: Concatenate

DataFrame df1
+————-+——–+
| Column Name | Type |
+————-+——–+
| student_id | int |
| name | object |
| age | int |
+————-+——–+

DataFrame df2
+————-+——–+
| Column Name | Type |
+————-+——–+
| student_id | int |
| name | object |
| age | int |
+————-+——–+

Write a solution to concatenate these two DataFrames vertically into one DataFrame.
The result format is in the following example.

Example not found

Constraints not found

Complexity Analysis

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

2888. Reshape Data: Concatenate LeetCode Solution in C++

import pandas as pd


def concatenateTables(df1: pd.DataFrame, df2: pd.DataFrame) -> pd.DataFrame:
  return pd.concat([df1, df2], axis=0)
/* code provided by PROGIEZ */

2888. Reshape Data: Concatenate LeetCode Solution in Java

N/A
// code provided by PROGIEZ

2888. Reshape Data: Concatenate LeetCode Solution in Python

N/A
# code by PROGIEZ

Additional Resources

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

See also  1857. Largest Color Value in a Directed Graph LeetCode Solution