# 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]]
```

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
```

Disclaimer: The above Problem (Shape and Reshape in Python) is generated by Hackerrank but the Solution is Provided by Chase2Learn. This tutorial is only for Educational and Learning purposes. Authority if any of the queries regarding this post or website fill the following contact form thank you.

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