numpy.ndarray.flat() in Python

NumPy ndarray nbytes() Method

Last Updated : 31 Jan, 2024

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 :

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 :

numpy.ndarray.flat() in Python

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