Python Coding Challange - Question With Answer(01210125)

 

Explanation

1. np.array([1, 2, 3, 4]):

   • Creates a NumPy array arr with the elements [1, 2, 3, 4].

2. np.clip(arr, 2, 3):

   • The np.clip() function limits the values in the array to a specified range.
   • Parameters:
     • arr: The input array.
     • a_min: The minimum value allowed in the array (here, 2).
     • a_max: The maximum value allowed in the array (here, 3).
   • Any value in the array less than 2 will be replaced with 2.
   • Any value greater than 3 will be replaced with 3.
   • Values in the range [2, 3] remain unchanged.

3. Output:

   • The original array is [1, 2, 3, 4].
   • After applying np.clip():
     • 1 (less than 2) is replaced with 2.
     • 2 remains unchanged.
     • 3 remains unchanged.
     • 4 (greater than 3) is replaced with 3.
   • The resulting array is [2, 2, 3, 3].

Output

[2 2 3 3]

Use Case

np.clip() is often used in data preprocessing, for example, to limit values in an array to a valid range (e.g., ensuring pixel values are between 0 and 255 in image processing).