[Solved] Given the numpy array:import numpy as np arr = np.array([[10, 20, 30], [40, 50, 60], [70, 80, 90]]) print(arr[2, 1])What will be the output? | NumPy

NumPy - Indexing and Slicing

Given the numpy array:

import numpy as np
arr = np.array([[10, 20, 30], [40, 50, 60], [70, 80, 90]])
print(arr[2, 1])

What will be the output?

A80

B70

C60

D50

Step-by-Step Solution

Solution:

Step 1: Identify the element at row 2, column 1
Indexes are zero-based, so row 2 means third row: [70, 80, 90], column 1 means second element.
Step 2: Find the value at arr[2, 1]
The value is 80.
Final Answer:
80 -> Option A
Quick Check:
arr[2,1] = 80 [OK]

Quick Trick: Remember zero-based indexing: row 2 is third row [OK]

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