In this post, we will see how to find the memory size of a NumPy array. So for finding the memory size of a NumPy array we are using following methods:
Using size and itemsize attributes of NumPy array
size: This attribute gives the number of elements present in the NumPy array.
itemsize: This attribute gives the memory size of one element of NumPy array in bytes.
Example 1:
Python3
# import libraryimport numpy as np# create a numpy 1d-arrayx = np.array([100,20,34])print("Size of the array: ", x.size)print("Memory size of one array element in bytes: ", x.itemsize)# memory size of numpy array in bytesprint("Memory size of numpy array in bytes:", x.size * x.itemsize) |
Output:
Size of the array: 3 Memory size of one array element in bytes: 4 Memory size of numpy array in bytes: 12
Example 2:
Python3
# import libraryimport numpy as np# create a numpy 2d-arrayx = np.array([[100, 20, 34], [300, 400, 600]])print("Size of the array: ", x.size)print("Memory size of one array element in bytes: ", x.itemsize)# memory size of numpy arrayprint("Memory size of numpy array in bytes:", x.size * x.itemsize) |
Output:
Size of the array: 6 Length of one array element in bytes: 4 Memory size of numpy array in bytes: 24
Using nbytes attribute of NumPy array.
nbytes: This attribute gives the total bytes consumed by the elements of the NumPy array.
Example 1:
Python3
import numpy as nfrom sys import getsizeofl = [0] * 10a = np.array(l)print(getsizeof(l))print(l.nbytes) |
Output:
136 40
Example 2:
Python3
# import libraryimport numpy as np# create numpy 1d-arrayx = np.array([100, 20, 34])print("Memory size of a NumPy array:", x.nbytes) |
Output:
Memory size of a NumPy array: 12
Example 3:
Python3
# import libraryimport numpy as np# create numpy 2d-arrayx = np.array([[100, 20, 34], [300, 400, 600]])print("Memory size of a NumPy array:", x.nbytes) |
Output:
Memory size of a NumPy array: 24
