NumPy - Indexing and Slicing
What does
arr[2, 1] mean when arr is a 2D numpy array?What does arr[2, 1] mean when arr is a 2D numpy array?
easy📝 Conceptual Q11 of 15
Step-by-Step Solution
Solution:
Step 1: Understand zero-based indexing
In numpy, counting starts at 0, so index 2 means the 3rd row, and index 1 means the 2nd column.Step 2: Interpret the indexing
arr[2, 1]accesses the element at row 3, column 2.Final Answer:
Access the element in the 3rd row and 2nd column -> Option AQuick Check:
Row 2, Col 1 means 3rd row, 2nd column [OK]
Quick Trick: Remember: rows and columns start counting at zero [OK]
Common Mistakes:
- Confusing row and column order
- Starting count from 1 instead of 0
- Thinking arr[2,1] returns a row or column
Master "Indexing and Slicing" in NumPy
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