NumPy - Indexing and Slicing
Which of the following is the correct syntax to access the element in the 2nd row and 3rd column of a numpy array named
arr?Which of the following is the correct syntax to access the element in the 2nd row and 3rd column of a numpy array named arr?
easy📝 Conceptual Q12 of 15
Step-by-Step Solution
Solution:
Step 1: Recall zero-based indexing in numpy
Indexing starts at 0, so 2nd row is index 1, 3rd column is index 2.Step 2: Check syntax for multi-dimensional access
Use square brackets with comma-separated indexes: arr[1, 2]. Parentheses or double brackets are incorrect here.Final Answer:
arr[1, 2] -> Option BQuick Check:
Zero-based indexing + arr[row, col] = arr[1, 2] [OK]
Quick Trick: Use zero-based indexes inside square brackets with commas [OK]
Common Mistakes:
- Using 1-based indexes instead of zero-based
- Using parentheses instead of square brackets
- Using double brackets like arr[2][3] which is less efficient
Master "Indexing and Slicing" in NumPy
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