Bird
0
0

What is wrong with this code snippet to select rows 1 to 3 and columns 0 to 2 from a NumPy array data?

medium📝 Debug Q14 of 15
NumPy - Indexing and Slicing
What is wrong with this code snippet to select rows 1 to 3 and columns 0 to 2 from a NumPy array data? 
slice = data[1:3, 0:2]
AIt selects rows 1 and 2 only, not row 3
BIt causes a syntax error due to variable name 'slice'
CIt selects columns 0, 1, and 2 instead of 0 and 1
DIt selects rows 0 to 3 instead of 1 to 3
Step-by-Step Solution
Solution:

  1. Step 1: Examine row slicing 1:3

    In Python/NumPy slicing, the end index is exclusive, so 1:3 selects rows 1 and 2 only, not row 3.

  2. Step 2: Column slicing 0:2

    Selects columns 0 and 1 (excludes 2).

  3. Final Answer:

    It selects rows 1 and 2 only, not row 3 -> Option A

  4. Quick Check:

    End index excluded in slicing = A [OK]
Quick Trick: Slicing excludes the end index [OK]
Common Mistakes:
  • Assuming slice includes end index
  • Ignoring variable naming conflicts
  • Confusing rows and columns in slicing

Want More Practice?

15+ quiz questions · All difficulty levels · Free

Free Signup - Practice All Questions
More NumPy Quizzes
Aggregation Functions - np.cumsum() for cumulative sum - Quiz 12easy Array Manipulation - np.newaxis for adding dimensions - Quiz 15hard Array Manipulation - transpose() for swapping axes - Quiz 10hard Array Manipulation - reshape() for changing dimensions - Quiz 14medium Array Manipulation - np.expand_dims() and np.squeeze() - Quiz 8hard Array Operations - Type promotion in operations - Quiz 8hard Array Operations - In-place operations for memory efficiency - Quiz 8hard Broadcasting - Common broadcasting patterns - Quiz 3easy Indexing and Slicing - Indexing returns views not copies - Quiz 15hard NumPy Fundamentals - Contiguous memory layout concept - Quiz 8hard