NumPy - Indexing and Slicing
What is the output of the following code?
import numpy as np arr = np.array([[5, 10], [15, 20]]) print(arr[0, 1])
What is the output of the following code?
medium📝 Predict Output Q4 of 15
Step-by-Step Solution
Solution:
Step 1: Identify the element at arr[0, 1]
arr[0, 1] means first row, second column. The first row is [5, 10], so second element is 10.Step 2: Confirm output
Printing arr[0, 1] outputs 10.Final Answer:
10 -> Option BQuick Check:
arr[0, 1] = 10 [OK]
Quick Trick: Row 0, column 1 element is arr[0, 1] [OK]
Common Mistakes:
- Confusing row and column indices
- Using 1-based indexing
- Printing the whole row instead of element
Master "Indexing and Slicing" in NumPy
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