Concatenate in Python | HackerRank Solution

Hello coders, today we are going to solve Concatenate HackerRank Solution in Python.

Concatenate in Python

Contents

Objective

Concatenate

Two or more arrays can be concatenated together using the concatenate function with a tuple of the arrays to be joined:

import numpy

array_1 = numpy.array([1,2,3])
array_2 = numpy.array([4,5,6])
array_3 = numpy.array([7,8,9])

print numpy.concatenate((array_1, array_2, array_3))    

#Output
[1 2 3 4 5 6 7 8 9]

If an array has more than one dimension, it is possible to specify the axis along which multiple arrays are concatenated. By default, it is along the first dimension.

import numpy

array_1 = numpy.array([[1,2,3],[0,0,0]])
array_2 = numpy.array([[0,0,0],[7,8,9]])

print numpy.concatenate((array_1, array_2), axis = 1)   

#Output
[[1 2 3 0 0 0]
 [0 0 0 7 8 9]]    

Task

You are given two integer arrays of size NP and MP ( N & M are rows, and P is the column). Your task is to concatenate the arrays along axis 0.

Input Format

The first line contains space separated integers NM and P.
The next N lines contains the space separated elements of the P columns.
After that, the next M lines contains the space separated elements of the P columns.

Output Format

Print the concatenated array of size (N + M) X P.

Sample Input

4 3 2
1 2
1 2 
1 2
1 2
3 4
3 4
3 4 

Sample Output

[[1 2]
 [1 2]
 [1 2]
 [1 2]
 [3 4]
 [3 4]
 [3 4]] 

Solution – Concatenate in Python

import numpy as np
a, b, c = map(int,input().split())
arr1 = np.array([input().split() for _ in range(a)],int)
arr2 = np.array([input().split() for _ in range(b)],int)
print(np.concatenate((arr1, arr2), axis = 0))

Disclaimer: The above Problem (Concatenate) is generated by Hacker Rank but the Solution is Provided by CodingBroz. This tutorial is only for Educational and Learning Purpose.

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