Given arr = np.array([1, 2, 3, 4]), you want to normalize the array by dividing each element by the maximum value using scalar operations. Which code snippet correctly does this?

hard📝 Application Q9 of 15

NumPy - Array Operations

Given arr = np.array([1, 2, 3, 4]), you want to normalize the array by dividing each element by the maximum value using scalar operations. Which code snippet correctly does this?

Aarr / arr.max()

Barr * arr.max()

Carr - arr.max()

Darr + arr.max()

Step-by-Step Solution

Solution:

Step 1: Understand normalization by max value
Normalization divides each element by the maximum element.
Step 2: Identify correct operation
Only arr / arr.max() divides each element by max value.
Final Answer:
arr / arr.max() -> Option A
Quick Check:
Normalization = divide by max value [OK]

Quick Trick: Divide array by max element to normalize [OK]

Common Mistakes:

Multiplying instead of dividing
Adding or subtracting max value
Using max as scalar incorrectly

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More NumPy Quizzes

Given arr = np.array([1, 2, 3, 4]), you want to normalize the array by dividing each element by the maximum value using scalar operations. Which code snippet correctly does this?

Step 1: Understand normalization by max value

Step 2: Identify correct operation

Final Answer:

Quick Check:

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