Concatenate in Python - HackerRank Solution
Concatenate in Python - HackerRank Solution
Problem :
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 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]]
Solution :
1 2 3 4 5 6 7 8 9 | # Concatenate in Python - Hacker Rank Solution # Python 3 # Concatenate in Python - Hacker Rank Solution START 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)) # Concatenate in Python - Hacker Rank Solution END |
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