NumPy ndarray nbytes() Method

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 nbytes() Method

S

sanjoy_62

Improve

Article Tags :

Practice Tags :

Similar Reads

numpy.ndarray.ndim() method | Python

numpy.ndarray.ndim() function return the number of dimensions of an array. Syntax : numpy.ndarray.ndim(arr) Parameters : arr : [array_like] Input array. If it is not already an ndarray, a conversion is attempted. Return : [int] Return the number of dimensions in arr. Code #1 : Python3 # Python progr

Numpy - ndarray

ndarray is a short form for N-dimensional array which is a important component of NumPy. Itâ€™s allows us to store and manipulate large amounts of data efficiently. All elements in an ndarray must be of same type making it a homogeneous array. This structure supports multiple dimensions which makes it

numpy.ndarray.itemsize() method | Python

numpy.ndarray.itemsize() function return the length of one array element in bytes. Syntax : numpy.ndarray.itemsize(arr) Parameters : arr : [array_like] Input array. Return : [int] The length of one array element in bytes Code #1 : Python3 # Python program explaining # numpy.ndarray.itemsize() functi

numpy.ndarray.flat() in Python

The numpy.ndarray.flat() function is used as a 1_D iterator over N-dimensional arrays.Â It is not a subclass of, Pythonâ€™s built-in iterator object, otherwise it a numpy.flatiter instance.Â Syntax :Â numpy.ndarray.flat() Parameters :Â index : [tuple(int)] index of the values to iterate Return :Â Â 1-D i

numpy.ndarray.fill() in Python

numpy.ndarray.fill() method is used to fill the numpy array with a scalar value. If we have to initialize a numpy array with an identical value then we use numpy.ndarray.fill(). Suppose we have to create a NumPy array a of length n, each element of which is v. Then we use this function as a.fill(v).