## Algorithm

Problem Name: Python - Transpose and Flatten

In this HackerRank Functions in PYTHON problem solution,

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 * 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.

Sample Input

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

Sample Output

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

## Code Examples

### #1 Code Example with Python Programming

```Code - Python Programming```

``````
import numpy as np

# Take input in the form of list, here each value in input().split() is being converted into int() using list comprehensible

n,m = [int(x) for x in input().split()]

arr = []

# map function runs the iterable values of the second argument through the first function which is int() here.

for i in range(n):
row = list(map(int, input().split()))
arr.append(row)

arr = np.array(arr)
print(np.transpose(arr))
print(arr.flatten())
``````
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