NumPy ndarray nbytes() Method

The NumPy ndarray nbytes() function return the total bytes consumed by the elements of the array.

Notes

• It returns the total bytes consumed by the total element of the array, but it does not calculate memory consumed by non-element attributes of the array object.
• The size of the data element depends on its attribute.
• It calculates the total bytes consumed by multiplying the shape of the array and the size of one array element.

Syntax

Syntax: numpy.ndarray.nbytes(arr) 

Parameters 

• arr : [array_like] Input array. 

Return 

• [int] Total bytes consumed by the elements of the array.

Examples

Let’s see an example of how to use ndarray nbytes() method of NumPy library in Python.

Example 1

Python3

import numpy as np
arr = np.zeros((1, 2, 3), dtype = np.complex128)

bytes_consumed = arr.nbytes

print (bytes_consumed)

Output :

96

Example 2

Python3

# Python program explaining
# numpy.ndarray.nbytes() function

# importing numpy as geek
import numpy as geek

arr = geek.random.rand(10000, 50)

gfg = arr.nbytes

print (gfg)

Output :

4000000