Solution:Step 1: Understand slice is a viewThe slice arr[1:4] returns a view sharing data with arr. Changing slice_arr[0] changes arr[1].Step 2: Apply the change and printSetting slice_arr[0] = 99 updates arr[1] to 99. The rest of arr remains unchanged.Final Answer:[10 99 30 40 50] -> Option AQuick

[Solved] Consider the code:import numpy as np arr = np.array([10, 20, 30, 40, 50]) slice_arr = arr[1:4] slice_arr[0] = 99 print(arr)What is the output? | NumPy

NumPy - Indexing and Slicing

Consider the code:

import numpy as np
arr = np.array([10, 20, 30, 40, 50])
slice_arr = arr[1:4]
slice_arr[0] = 99
print(arr)

What is the output?

A[10 99 30 40 50]

B[10 20 30 40 50]

C[10 99 99 40 50]

D[10 20 99 40 50]

Step-by-Step Solution

Solution:

Step 1: Understand slice is a view
The slice arr[1:4] returns a view sharing data with arr. Changing slice_arr[0] changes arr[1].
Step 2: Apply the change and print
Setting slice_arr[0] = 99 updates arr[1] to 99. The rest of arr remains unchanged.
Final Answer:
[10 99 30 40 50] -> Option A
Quick Check:
View change updates original array [OK]

Quick Trick: Changing slice changes original array if no copy [OK]

Common Mistakes:

Expecting original array unchanged
Changing wrong indices
Confusing slice indices with original

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More NumPy Quizzes

Consider the code:

Step 1: Understand slice is a view

Step 2: Apply the change and print

Final Answer:

Quick Check:

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