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

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