w3resource

NumPy: Check whether the dimensions of two given arrays are same or not

NumPy: Array Object Exercise-180 with Solution

Write a NumPy program to check whether the dimensions of two given arrays are same or not.

Pictorial Presentation:

Python NumPy: Check whether the dimensions of two given arrays are same or not

Sample Solution:

Python Code:

# Importing the NumPy library
import numpy as np

# Defining a function to check array dimensions
def test_array_dimensions(ar1, ar2):
    try:
        # Attempting to add arrays ar1 and ar2
        ar1 + ar2
    except ValueError:
        # If ValueError occurs (arrays have different dimensions), return "Different dimensions"
        return "Different dimensions"
    else:
        # If no error occurs (arrays have the same dimensions), return "Same dimensions"
        return "Same dimensions"

# Creating two NumPy arrays: ar1 and ar2 reshaped into a 4x5 array
ar1 = np.arange(20).reshape(4, 5)
ar2 = np.arange(20).reshape(4, 5)

# Testing array dimensions for ar1 and ar2 using the defined function
print(test_array_dimensions(ar1, ar2))

# Creating two NumPy arrays: ar1 and ar2 reshaped into a 5x4 and 4x5 arrays respectively
ar1 = np.arange(20).reshape(5, 4)
ar2 = np.arange(20).reshape(4, 5)

# Testing array dimensions for ar1 and ar2 using the defined function
print(test_array_dimensions(ar1, ar2)) 

Sample Output:

Same dimensions
Different dimensions

Explanation:

The above code defines a function called 'test_array_dimensions()' that checks whether two input arrays have the same dimensions (i.e., can be added element-wise) and returns a string indicating the result.

  • The function takes two input arguments, 'ar1' and 'ar2', which are NumPy arrays.
  • A try block is used to attempt adding 'ar1' and 'ar2' element-wise using the + operator. If the dimensions of the arrays are compatible for addition, the operation will be executed without any issues.
  • If the dimensions of the arrays are not compatible for addition, a ValueError will be raised. In this case, the code inside the except ValueError block will be executed, returning the string "Different dimensions".
  • If the addition is successful and no ValueError is raised, the code inside the else block will be executed, returning the string "Same dimensions".

Python-Numpy Code Editor:

Previous: Write a NumPy program to fetch all items from a given array of 4,5 shape which are either greater than 6 and a multiple of 3.
Next: Write a NumPy program to place a specified element in specified time randomly in a specified 2D array.

What is the difficulty level of this exercise?

Test your Programming skills with w3resource's quiz.



Become a Patron!

Follow us on Facebook and Twitter for latest update.

It will be nice if you may share this link in any developer community or anywhere else, from where other developers may find this content. Thanks.

https://198.211.115.131/python-exercises/numpy/python-numpy-exercise-180.php