[Solved] Given two boolean arrays:a = np.array([True, False, True]) b = np.array([False, True, False])How can you create a new array that is True only if both a and b are not True at the same time (i.e.... | NumPy

NumPy - Array Operations

Given two boolean arrays:

a = np.array([True, False, True])
b = np.array([False, True, False])

How can you create a new array that is True only if both a and b are not True at the same time (i.e., NOT (a AND b))?

Anp.logical_xor(a, b)

Bnp.logical_and(np.logical_not(a), np.logical_not(b))

Cnp.logical_not(np.logical_and(a, b))

Dnp.logical_or(a, b)

Step-by-Step Solution

Solution:

Step 1: Understand the expression NOT (a AND b)
This means the result is True when a and b are not both True simultaneously.
Step 2: Use NumPy functions to express it
First compute np.logical_and(a, b), then negate with np.logical_not.
Final Answer:
np.logical_not(np.logical_and(a, b)) -> Option C
Quick Check:
NOT (a AND b) = np.logical_not(np.logical_and(a, b)) [OK]

Quick Trick: Combine logical_and and logical_not for NOT (a AND b) [OK]

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