**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]] Task 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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