# Concatenate python

### Problem Statement :

```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]]

You are given two integer arrays of size N X P and M X P (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) X P.```

### Solution :

```                            ```Solution in C :

import numpy

n,m,p=map(int,input().split())

lista1=[list(map(int,input().split())) for i in range(n)]
lista2=[list(map(int,input().split())) for i in range(m)]
a1=numpy.array(lista1)
a2=numpy.array(lista2)

print(numpy.concatenate((a1,a2),axis=0))```
```

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