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Introduction To Python
Python is a widely-used, interpreted, object-oriented, and high-level programming language with dynamic semantics, used for general-purpose programming. It was created by Guido van Rossum, and first released on February 20, 1991.
Python is a computer programming language often used to build websites and software, automate tasks, and conduct data analysis. It is also used to create various machine learning algorithm, and helps in Artificial Intelligence. Python is a general purpose language, meaning it can be used to create a variety of different programs and isn’t specialized for any specific problems. This versatility, along with its beginner-friendliness, has made it one of the most-used programming languages today. A survey conducted by industry analyst firm RedMonk found that it was the most popular programming language among developers in 2020.
Link for the Problem – Transpose and Flatten in Python – HackerRank Solution
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())
