Given a 2D NumPy array arr, you want to extract a subarray and modify it without changing the original. Which approach is correct?

hard📝 Application Q9 of 15

NumPy - Indexing and Slicing

Given a 2D NumPy array arr, you want to extract a subarray and modify it without changing the original. Which approach is correct?

sub_arr = arr[1:3, 0:2]

Asub_arr = arr[1:3][0:2]

Bsub_arr = arr[1:3, 0:2]

Csub_arr = arr[1:3, 0:2].copy()

Dsub_arr = arr.view()[1:3, 0:2]

Step-by-Step Solution

Solution:

Step 1: Recognize slicing returns a view
arr[1:3, 0:2] is a view sharing data with arr.
Step 2: Use .copy() to avoid modifying original
Calling .copy() creates an independent subarray.
Final Answer:
sub_arr = arr[1:3, 0:2].copy() -> Option C
Quick Check:
Use .copy() for independent 2D subarrays = A [OK]

Quick Trick: Always use .copy() for independent 2D slices [OK]

Common Mistakes:

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