Given a 3D NumPy array arr = np.array([[[1,2],[3,4]], [[5,6],[7,8]]]), which code correctly computes the product of elements along the last axis (axis=2)?

hard📝 Application Q15 of 15

NumPy - Aggregation Functions

Given a 3D NumPy array arr = np.array([[[1,2],[3,4]], [[5,6],[7,8]]]), which code correctly computes the product of elements along the last axis (axis=2)?

Anp.prod(arr, axis=1)

Bnp.prod(arr, axis=2)

Carr.prod(axis=0)

Dnp.prod(arr)

Step-by-Step Solution

Solution:

Step 1: Identify the last axis in 3D array
For shape (2,2,2), axis=2 is the last axis (elements inside the smallest arrays).
Step 2: Use np.prod with axis=2
Applying np.prod(arr, axis=2) multiplies elements inside each 1D sub-array.
Final Answer:
np.prod(arr, axis=2) -> Option B
Quick Check:
Last axis product = np.prod(arr, axis=2) [OK]

Quick Trick: Last axis in 3D is axis=2, use np.prod(arr, axis=2) [OK]

Common Mistakes:

Using wrong axis for product
Using arr.prod(axis=0) which multiplies differently
Using np.prod(arr) which multiplies all elements

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More NumPy Quizzes

Given a 3D NumPy array arr = np.array([[[1,2],[3,4]], [[5,6],[7,8]]]), which code correctly computes the product of elements along the last axis (axis=2)?

Step 1: Identify the last axis in 3D array

Step 2: Use np.prod with axis=2

Final Answer:

Quick Check:

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