# 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]

You are given a N X M integer array matrix with space separated elements (N = rows and M = columns).

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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