Transpose and Flatten in Python HackerRank Solution

Hello coders, In this post, you will learn how to solve Transpose and Flatten in Python HackerRank Solution. This problem is a part of the Python Hacker Rank series.

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Transpose and Flatten in Python - HackerRank Solution
Transpose and Flatten in Python – HackerRank Solution

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Transpose and Flatten in Python HackerRank Solution

Problem

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.

FAQ:

Does HackerRank have Python?

HackerRank’s programming challenges can be solved in a variety of programming languages (including Java, C++, PHP, Python, SQL, JavaScript) and span multiple computer science domains.

Where can I practice Python coding?

  • HackerRank is a great site for practice that’s also interactive.

Where can I find HackerRank solutions in Python?

in this post, you will get all the solutions to HackerRank Python Problems.

Is possible HackerRank Solution in Python?

HackerRank’s programming challenges can be solved in a variety of programming languages (including Java, C++, PHP, Python, SQL, and JavaScript) and span multiple computer science domains. When a programmer submits a solution to a programming challenge, their submission is scored on the accuracy of their output.

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