# Transpose and Flatten in Python – HackerRank Solution

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]]
```

FlattenThe 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*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.

```2 2
1 2
3 4
```

#### Sample Output :

```[[1 3]
[2 4]]
[1 2 3 4]]```

### Transpose and Flatten in Python – HackerRank Solution

```import numpy
n, m = map(int, input().split())
storage = numpy.array([input().strip().split() for _ in range(n)], int)
print (storage.transpose())
print (storage.flatten())```

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