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 $N$X$\mbox{P}$ and $\mbox{M}$X$\mbox{P}$ ($N$ & $\mbox{M}$ are rows, and $\mbox{P}$ is the column). Your task is to concatenate the arrays along axis $\mbox{o}$.

Input Format

The first line contains space separated integers $N$, $\mbox{M}$ and $\mbox{P}$.

The next $N$ lines contains the space separated elements of the $\mbox{P}$ columns.

After that, the next $\mbox{M}$ lines contains the space separated elements of the $\mbox{P}$ columns.

Output Format

Print the concatenated array of size $(N+M)$X$\mbox{P}$.

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]]

见题面

见题面