**Transpose and Flatten python**

### Problem Statement :

Transpose We can generate the transposition of an array using the tool numpy.transpose. It will not affect the original array, but it will create a new array. import numpy my_array = numpy.array([[1,2,3], [4,5,6]]) print numpy.transpose(my_array) #Output [[1 4] [2 5] [3 6]] Flatten The tool flatten creates a copy of the input array flattened to one dimension. import numpy my_array = numpy.array([[1,2,3], [4,5,6]]) print my_array.flatten() #Output [1 2 3 4 5 6] Task You are given a N X M integer array matrix with space separated elements (N = rows and M = columns). Your task is to print the transpose and flatten results. Input Format The first line contains the space separated values of N and M. The next N lines contains the space separated elements of M columns. Output Format First, print the transpose array and then print the flatten.

### Solution :

` ````
Solution in C :
import numpy
n,m=map(int,input().split())
lista=[list(map(int,input().split())) for i in range(n)]
a=numpy.array(lista)
print(numpy.transpose(a))
print(a.flatten())
```

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