Find the memory size of a NumPy array
In this post, we will see how to find the memory size of a NumPy array. So for finding the memory size we are using following methods:
Method 1: 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.
Let’s see the examples:
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
Method 2: Using nbytes attribute of NumPy array.
nbytes: This attribute gives the total bytes consumed by the elements of the NumPy array.
Let’s see the examples:
Example 1:
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 2:
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
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