Bird
0
0

What is wrong with this slice: arr[::0] for any NumPy array arr?

medium📝 Debug Q7 of 15
NumPy - Indexing and Slicing
What is wrong with this slice: arr[::0] for any NumPy array arr?
AStep cannot be zero; it raises an error.
BIt returns the entire array.
CIt returns an empty array.
DIt reverses the array.
Step-by-Step Solution
Solution:

  1. Step 1: Understand step parameter rules

    The step value cannot be zero because it means no progress in slicing.

  2. Step 2: Effect of zero step

    Using zero step raises a ValueError in NumPy.

  3. Final Answer:

    Step cannot be zero; it raises an error. -> Option A

  4. Quick Check:

    Step=0 causes error in slicing [OK]
Quick Trick: Step zero is invalid and causes error [OK]
Common Mistakes:
  • Thinking step=0 returns full array
  • Assuming empty array return
  • Confusing step with start/stop

Want More Practice?

15+ quiz questions · All difficulty levels · Free

Free Signup - Practice All Questions
More NumPy Quizzes
Aggregation Functions - np.std() and np.var() for spread - Quiz 7medium Array Data Types - Integer types (int8, int16, int32, int64) - Quiz 3easy Array Data Types - String type in NumPy - Quiz 2easy Array Data Types - Boolean type - Quiz 6medium Broadcasting - Broadcasting compatibility check - Quiz 13medium Creating Arrays - Why array creation matters - Quiz 13medium Indexing and Slicing - Fancy indexing with integer arrays - Quiz 2easy NumPy Fundamentals - What is NumPy - Quiz 5medium NumPy Fundamentals - NumPy and scientific computing ecosystem - Quiz 9hard NumPy Fundamentals - What is NumPy - Quiz 4medium