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You have a 3D numpy array data with shape (4, 3, 2). How do you access the single element in the 4th block, 2nd row, and 1st column?

hard📝 Application Q15 of 15
NumPy - Indexing and Slicing
You have a 3D numpy array data with shape (4, 3, 2). How do you access the single element in the 4th block, 2nd row, and 1st column?
Adata[3, 1, 0]
Bdata[4, 2, 1]
Cdata[3][1][1]
Ddata[2, 1, 0]
Step-by-Step Solution
Solution:
  1. Step 1: Understand zero-based indexing for 3D arrays

    4th block means index 3, 2nd row means index 1, 1st column means index 0.
  2. Step 2: Write the correct index tuple

    Use data[3, 1, 0] to access the element.
  3. Final Answer:

    data[3, 1, 0] -> Option A
  4. Quick Check:

    3D array access = data[3,1,0] [OK]
Quick Trick: Count from zero for each dimension in order [OK]
Common Mistakes:
  • Using 1-based indexes instead of zero-based
  • Mixing up the order of indexes
  • Using invalid indexes beyond shape

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