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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 – Shape and Reshape in Python – HackerRank Solution
Shape and Reshape in Python – HackerRank Solution
Problem:
Shape :
The shape tool gives a tuple of array dimensions and can be used to change the dimensions of an array.(a). Using shape to get array dimensions
import numpy my__1D_array = numpy.array([1, 2, 3, 4, 5]) print my_1D_array.shape #(5,) -> 5 rows and 0 columns my__2D_array = numpy.array([[1, 2],[3, 4],[6,5]]) print my_2D_array.shape #(3, 2) -> 3 rows and 2 columns
(b). Using shape to change array dimensions
import numpy change_array = numpy.array([1,2,3,4,5,6]) change_array.shape = (3, 2) print change_array #Output [[1 2] [3 4] [5 6]]
ReshapeThe reshape tool gives a new shape to an array without changing its data. It creates a new array and does not modify the original array itself.
import numpy my_array = numpy.array([1,2,3,4,5,6]) print numpy.reshape(my_array,(3,2)) #Output [[1 2] [3 4] [5 6]]
Task :
You are given a space separated list of nine integers. Your task is to convert this list into a 3X3 NumPy array.
Input Format :
A single line of input containing 9 space separated integers.
Output Format :
Print the 3X3 NumPy array.
Sample Input :
1 2 3 4 5 6 7 8 9
Sample Output :
[[1 2 3] [4 5 6] [7 8 9]]
Shape and Reshape in Python – HackerRank Solution
import numpy # Shape and Reshape in Python - Hacker Rank Solution START print(numpy.array(input().split(), int).reshape(3, 3)) # Shape and Reshape in Python - Hacker Rank Solution END
