Skip to content
Related Articles

Related Articles

Improve Article

Find length of one array element in bytes and total bytes consumed by the elements in Numpy

  • Last Updated : 23 Jul, 2021
Geek Week

In NumPy we can find the length of one array element in a byte with the help of itemsize . It will return the length of the array in integer. And in the numpy for calculating total bytes consumed by the elements with the help of nbytes.

Syntax: array.itemsize 
 

Return :It will return length(int) of the array in bytes. 
 

 

Syntax: array.nbytes 
 



Return :It will return total bytes consumed by the elements.
 

Example 1:

Python




import numpy as np
 
 
array = np.array([1,3,5], dtype=np.float64)
 
# Size of the array
print(array.size)
 
# Length of one array element in bytes,
print( array.itemsize)
 
# Total bytes consumed by the elements
# of the array
print(array.nbytes)

 
 Output:

3
8
24

Example 2:

Python




import numpy as np
 
 
array = np.array([20, 34, 56, 78, 1, 9], dtype=np.float64)
 
# Size of the array
print(array.size)
 
# Length of one array element in bytes,
print(array.itemsize)
 
# Total bytes consumed by the elements
# of the array
print(array.nbytes)

 
Output: 

6
8
48

 Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.  

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course




My Personal Notes arrow_drop_up
Recommended Articles
Page :