NumPy ndarray nbytes() Method

Last Updated : 12 Jul, 2025

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
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