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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 X and X ( & are rows, and is the column). Your task is to concatenate the arrays along axis .
Input Format
The first line contains space separated integers , and .
The next lines contains the space separated elements of the columns.
After that, the next lines contains the space separated elements of the columns.
Output Format
Print the concatenated array of size X.
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]]