# Python Numpy.square() - Square

`Numpy.square()` function calculates the square of every element in the given array.

It is the inverse operation of `Numpy.sqrt()` method.

## Syntax of `numpy.square()`

``````numpy.square(arr,
out=None)
``````

### Parameters

`arr` input array
`out` If `out` is given, the result will be stored in `out`. `out` should have the same shape as `arr`.

### Return

It returns an array of the square of each element in the input array, even if `out` is given.

## Example Codes: `numpy.square()`

``````import numpy as np

arr = [1, 3, 5, 7]

arr_sq = np.square(arr)

print(arr_sq)
``````

Output:

``````[ 1  9 25 49]
``````

## Example Codes: `numpy.square()` With `out` Parameter

``````import numpy as np

arr = [1, 3, 5, 7]
out_arr = np.zeros(4)

arr_sq = np.square(arr, out_arr)

print(out_arr)
print(arr_sq)
``````

Output:

``````[ 1  9 25 49]
[ 1  9 25 49]
``````

`out_arr` has the same shape as `arr`, and the square of `arr` is saved in it.

And the `numpy.square()` method also returns the square array, as shown above.

If `out` doesn’t have the same shape as `arr`, it raises a `ValueError`.

``````import numpy as np

arr = [1, 3, 5, 7]
out_arr = np.zeros(3)

arr_sq = np.square(arr, out_arr)

print(out_arr)
print(arr_sq)
``````

Output:

``````Traceback (most recent call last):
arr_sq = np.square(arr, out_arr)
ValueError: operands could not be broadcast together with shapes (4,) (3,)
``````

## Example Codes: `numpy.square()` With Negative Numbers

``````import numpy as np

arr = [-1, -3, -5, -7]

arr_sq = np.square(arr)

print(arr_sq)
``````

Output:

``````[ 1  9 25 49]
``````

## Example Codes: `numpy.square()` With Complex Numbers

``````import numpy as np

arr = [1+2j, -2-1j, 2-3j, -3+4j]

arr_sq = np.square(arr)

print(arr_sq)
``````

Output:

``````[-3. +4.j  3. +4.j -5.-12.j -7.-24.j]
``````