[Solved] You want to change elements in a slice of a NumPy ... Which code snippet correctly achieves this?import numpy as np arr = np.array([7, 14, 21, 28, 35]) slice_arr = arr[1:4] # What should you do next? | NumPy

NumPy - Indexing and Slicing

You want to change elements in a slice of a NumPy array without modifying the original array. Which code snippet correctly achieves this?

import numpy as np
arr = np.array([7, 14, 21, 28, 35])
slice_arr = arr[1:4]
# What should you do next?

AModify <code>arr</code> directly without slicing

BAssign <code>slice_arr = arr[1:4]</code> and modify directly

CUse <code>slice_arr = list(arr[1:4])</code> and modify the list

DCreate a copy of the slice using <code>slice_arr = arr[1:4].copy()</code>

Step-by-Step Solution

Solution:

Step 1: Understand views vs copies
Slicing returns a view; modifying it changes the original.
Step 2: Use .copy() to avoid affecting original
Creating a copy ensures changes do not propagate.
Final Answer:
Create a copy of the slice using slice_arr = arr[1:4].copy() -> Option D
Quick Check:
Copy prevents original array modification [OK]

Quick Trick: Use .copy() to avoid modifying original array [OK]

Common Mistakes:

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You want to change elements in a slice of a NumPy array without modifying the original array. Which code snippet correctly achieves this?