[Solved] What will be the output of this code?import numpy as np arr = np.array([True, False, True]) print(arr & np.array([False, False, True])) | NumPy

NumPy - Array Data Types

What will be the output of this code?

import numpy as np
arr = np.array([True, False, True])
print(arr & np.array([False, False, True]))

A[False False True]

B[True False True]

C[True True True]

D[False False False]

Step-by-Step Solution

Solution:

Step 1: Understand bitwise AND on boolean arrays
Element-wise AND: True & False = False, False & False = False, True & True = True.
Step 2: Apply AND operation element-wise
Results: [False, False, True].
Final Answer:
[False False True] -> Option A
Quick Check:
Boolean AND result = [False False True] [OK]

Quick Trick: Use & for element-wise AND on boolean numpy arrays [OK]

Common Mistakes:

Master "Array Data Types" in NumPy

9 interactive learning modes - each teaches the same concept differently

More NumPy Quizzes

What will be the output of this code?