[Solved] What will be the output of the following code?import numpy as np arr = np.arange(16).reshape(4,4) print(arr[2:, 1:3]) | NumPy

NumPy - Indexing and Slicing

What will be the output of the following code?

import numpy as np
arr = np.arange(16).reshape(4,4)
print(arr[2:, 1:3])

A[[ 6 7] [10 11]]

B[[ 9 10] [13 14]]

C[[10 11] [14 15]]

D[[ 8 9] [12 13]]

Step-by-Step Solution

Solution:

Step 1: Create the array and reshape
Array is 4x4 with values 0 to 15 arranged row-wise.
Step 2: Slice rows from index 2 to end and columns 1 to 3 (exclusive)
Rows 2 and 3: [8,9,10,11] and [12,13,14,15]. Columns 1 and 2: indices 1 and 2.
Final Answer:
[[ 9 10] [13 14]] -> Option B
Quick Check:
Rows 2+, columns 1-2 = [[9 10], [13 14]] [OK]

Quick Trick: Remember stop index is exclusive in slicing [OK]

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