Hello Programmers/Coders, Today we are going to share solutions of Programming problems of HackerRank of Programming Language Python. At Each Problem with Successful submission with all Test Cases Passed, you will get an score or marks. And after solving maximum problems, you will be getting stars. This will highlight your profile to the recruiters.
In this post, you will find the solution for Eye and Identity in Python-HackerRank Problem. We are providing the correct and tested solutions of coding problems present on HackerRank. If you are not able to solve any problem, then you can take help from our Blog/website.
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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 – Eye and Identity in Python – HackerRank Solution
Eye and Identity in Python – HackerRank Solution
Problem:
identity :
The identity tool returns an identity array. An identity array is a square matrix with all the main diagonal elements as 1 and the rest as 0. The default type of elements is float.
import numpy print numpy.identity(3) #3 is for dimension 3 X 3 #Output [[ 1. 0. 0.] [ 0. 1. 0.] [ 0. 0. 1.]]
eye :
The eye tool returns a 2-D array with 1’s as the diagonal and 0’s elsewhere. The diagonal can be main, upper or lower depending on the optional parameter K. A positive K is for the upper diagonal, a negative K is for the lower, and a 0 K (default) is for the main diagonal.
import numpy print numpy.eye(8, 7, k = 1) # 8 X 7 Dimensional array with first upper diagonal 1. #Output [[ 0. 1. 0. 0. 0. 0. 0.] [ 0. 0. 1. 0. 0. 0. 0.] [ 0. 0. 0. 1. 0. 0. 0.] [ 0. 0. 0. 0. 1. 0. 0.] [ 0. 0. 0. 0. 0. 1. 0.] [ 0. 0. 0. 0. 0. 0. 1.] [ 0. 0. 0. 0. 0. 0. 0.] [ 0. 0. 0. 0. 0. 0. 0.]] print numpy.eye(8, 7, k = -2) # 8 X 7 Dimensional array with second lower diagonal 1.
Task :
Your task is to print an array of size N*M with its main diagonal elements as 1’s and 0’s everywhere else.
Input Format :
A single line containing the space separated values of N and M.
N denotes the rows.M denotes the columns.
Output Format :
Print the desired N*M array.
Sample Input :
3 3
Sample Output :
[[ 1. 0. 0.] [ 0. 1. 0.] [ 0. 0. 1.]]
Eye and Identity in Python – HackerRank Solution
import numpy numpy.set_printoptions(sign=' ') print(numpy.eye(*map(int, input().split())))
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