Hello Programmers, In this post, you will know how to solve the Concatenate in Python HackerRank Solution. This problem is a part of the HackerRank Python Programming Series.
One more thing to add, don’t directly look for the solutions, first try to solve the problems of Hackerrank by yourself. If you find any difficulty after trying several times, then you can look for solutions.
Concatenate in Python HackerRank Solutions
Problem
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 NXP and MXP ( 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 N, M 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)XP.
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]]
Concatenate in Python HackerRank Solutions
import numpy P, N, M = map(int,input().split()) A = numpy.array([input().split() for _ in range(P)],int) B = numpy.array([input().split() for _ in range(N)],int) print(numpy.concatenate((A, B), axis = 0))
Disclaimer: The above Problem (Concatenate in Python) is generated by Hackerrank but the Solution is Provided by BrokenProgrammers. This tutorial is only for Educational and Learning purposes.