# Shape and Reshape in Python | HackerRank Solution

Hello coders, today we are going to solve Shape and Reshape HackerRank Solution in Python.

Contents

## Objective

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,) -> 1 row and 5 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]]``````

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 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]]``````

You are given a space separated list of nine integers. Your task is to convert this list into a 3 X 3 NumPy array.

## Input Format

A single line of input containing 9 space separated integers.

## Output Format

Print the 33 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

```import numpy
ar = list(map(int,input().split()))
np_ar = numpy.array(ar)
print(numpy.reshape(np_ar,(3,3)))```

Disclaimer: The above Problem (Shape and Reshape) is generated by Hacker Rank but the Solution is Provided by CodingBroz. This tutorial is only for Educational and Learning Purpose.