Shape and Reshape HackerRank Solution In Python

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 numpymy__1D_array = numpy.array([1, 2, 3, 4, 5])print my_1D_array.shape     #(5,) -> 1 row and 5 columnsmy__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 numpychange_array = numpy.array([1,2,3,4,5,6])change_array.shape = (3, 2)print change_array      #Output[[1 2][3 4][5 6]]

reshape

The 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 numpymy_array = numpy.array([1,2,3,4,5,6])print numpy.reshape(my_array,(3,2))#Output[[1 2][3 4][5 6]]

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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]]

Solution – Shape and Reshape In Python | HackerRank

import numpylst = numpy.array(list(map(int, input().split())))print(numpy.reshape(lst, (3, 3)))