Shape and Reshape in Python HackerRank Solution

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

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

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