Concatenate HackerRank Solution In Python

Problem

Concatenate

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

import numpyarray_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 numpyarray_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]]    

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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 X.

Sample Input

4 3 21 21 2 1 21 23 43 43 4 

Sample Output

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

Solution – Concatenate In Python | HackerRank

import numpy as npn, m, p = list(map(int, input().split()))arr1 = np.array([list(map(int, input().split())) for _ in range(n)])arr2 = np.array([list(map(int, input().split())) for _ in range(m)])print(np.concatenate((arr1, arr2), axis=0))