# Transpose and Flatten in Python | HackerRank Solution

Hello coders, today we are going to solve Transpose and Flatten HackerRank Solution in Python.

## Objective

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 NM 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.

Sample Input

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

Sample Output

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

## Solution – Transpose and Flatten in Python

```import numpy
n,m = map(int,input().split())
ar = []
for i in range(n):
row = list(map(int,input().split()))
ar.append(row)
np_ar = numpy.array(ar)
print(numpy.transpose(np_ar))
print(np_ar.flatten())```

Disclaimer: The above Problem (Transpose and Flatten) is generated by Hacker Rank but the Solution is Provided by CodingBroz. This tutorial is only for Educational and Learning Purpose.