NumPy - Indexing and Slicing
What does the expression
arr[1, 2] return when arr is a 2D numpy array?What does the expression arr[1, 2] return when arr is a 2D numpy array?
easy📝 Conceptual Q1 of 15
Step-by-Step Solution
Solution:
Step 1: Understand numpy 2D indexing
In numpy, the first index is the row number and the second is the column number, both zero-based.Step 2: Apply the indices to the array
Index [1, 2] means 2nd row (index 1) and 3rd column (index 2).Final Answer:
The element in the 2nd row and 3rd column -> Option CQuick Check:
2D array indexing = element at (row, col) [OK]
Quick Trick: Row index first, then column index in 2D arrays [OK]
Common Mistakes:
- Confusing row and column order
- Using 1-based indexing
- Selecting entire row instead of element
Master "Indexing and Slicing" in NumPy
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