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