NumPy: Count the number of dimensions, number of elements and number of bytes for each element in a given array
Count Dimensions, Elements, and Bytes of Array
Write a NumPy program to count the number of dimensions, number of elements and number of bytes for each element in a given array.
Sample Solution:
Python Code:
# Importing the NumPy library and aliasing it as 'np'
import numpy as np
# Printing a message indicating the original array will be displayed
print("\nOriginal arrays:")
# Creating a NumPy array 'x' containing two nested lists with integers from 0 to 23 and shaping it into a 2x12 array
x = np.array([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11],
[12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23]])
# Displaying the original 2D array 'x'
print(x)
# Printing a message indicating the number of dimensions of the array using x.ndim
print("\nNumber of dimensions:")
print(x.ndim)
# Printing a message indicating the total number of elements in the array using x.size
print("Number of elements:")
print(x.size)
# Printing a message indicating the number of bytes for each element in the array using x.itemsize
print("Number of bytes for each element in the said array:")
print(x.itemsize)
Sample Output:
Original arrays: [[ 0 1 2 3 4 5 6 7 8 9 10 11] [12 13 14 15 16 17 18 19 20 21 22 23]] Number of dimensions: 2 Number of elements: 24 Number of bytes for each element in the said array: 8
Explanation:
In the above exercise -
x = np.array([...]): This line creates a 2-dimensional NumPy array x with the given elements.
print(x.ndim): It prints the number of dimensions of the array x.
print(x.size): It prints the total number of elements in the array x. In this case, it will print 24 because x has 2 rows and 12 columns (2 * 12 = 24 elements).
print(x.itemsize): It prints the size in bytes of each element of the array x. In this case, since the elements are integers, it will typically print 4 or 8 depending on the default integer size of the platform (32-bit or 64-bit).
Pictorial Presentation:
Python-Numpy Code Editor: