NumPy - Indexing and Slicing
Which of these is the correct way to access the element at row 1, column 2 in a 2D numpy array named arr?
Which of these is the correct way to access the element at row 1, column 2 in a 2D numpy array named arr?
easy📝 Conceptual Q2 of 15
Step-by-Step Solution
Solution:
Step 1: Understand numpy indexing
In numpy, indexing starts at 0. So row 1 means second row, column 2 means third column.Step 2: Check syntax for 2D arrays
arr[1, 2] accesses the element at second row, third column directly. Other options use incorrect indices or invalid syntax like parentheses.Final Answer:
arr[1, 2] -> Option BQuick Check:
Row 1, Column 2 element = arr[1, 2] [OK]
Quick Trick: Use arr[row_index, column_index] for 2D arrays [OK]
Common Mistakes:
- Swapping row and column indices
- Using 1-based indexing
- Using parentheses for indexing
Master "Indexing and Slicing" in NumPy
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