Transpose and Flatten in Python – HackerRank Solution

Transpose and Flatten in Python - HackerRank Solution
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]

Task :

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.


Sample Input :

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())

Disclaimer: The above Problem (Transpose and Flatten in Python – HackerRank Solution) is generated by Hackerrank but the Solution is Provided by Chase2Learn. This tutorial is only for Educational and Learning purposes. Authority if any of the queries regarding this post or website fill the following contact form thank you.

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