[Solved] Identify the error in the following code snippet:import numpy as np arr = np.array([True, False, True]) result = arr and np.array([False, True, False]) print(result) | NumPy

NumPy - Array Operations

Identify the error in the following code snippet:

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

Anp.array should be np.logical_and

BUsing 'and' operator directly on NumPy arrays causes an error

CMissing parentheses around arrays

DArrays must be converted to lists before logical operations

Step-by-Step Solution

Solution:

Step 1: Understand Python 'and' operator with arrays
'and' is a Python keyword that does not work element-wise on arrays; it expects single boolean values.
Step 2: Identify correct way to do element-wise logical AND
Use numpy.logical_and(arr1, arr2) for element-wise AND on arrays.
Final Answer:
Using 'and' operator directly on NumPy arrays causes an error -> Option B
Quick Check:
Python 'and' fails on arrays; use logical_and [OK]

Quick Trick: Use numpy.logical_and, not Python 'and' for arrays [OK]

Common Mistakes:

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