NumPy: Count the number of dimensions, number of elements and number of bytes for each element in a given array

Last update on August 29 2025 12:45:56 (UTC/GMT +8 hours)

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: Count the number of dimensions, number of elements and number of bytes for each element in a given array.

For more Practice: Solve these Related Problems:

Write a NumPy program to print the number of dimensions and total element count of an array using ndarray.ndim and size.
Create a function that calculates the total memory usage of an array by multiplying its size by the itemsize.
Test the function on arrays with different dtypes to observe variations in element byte sizes.
Implement a solution that summarizes array statistics including shape, ndim, size, and memory consumption.

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