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

NumPy - Array Operations

Identify the error in this code snippet:

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

AUsing 'and' operator with NumPy arrays causes an error

BArrays x and y have different lengths

CMissing parentheses around arrays

Dnp.logical_and should be replaced with np.logical_or

Step-by-Step Solution

Solution:

Step 1: Understand Python 'and' with arrays
The 'and' operator cannot be used directly with NumPy arrays; it raises a ValueError.
Step 2: Correct usage
Use np.logical_and(x, y) for element-wise logical AND.
Final Answer:
Using 'and' operator with NumPy arrays causes an error -> Option A
Quick Check:
Python 'and' with arrays = Error [OK]

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

Common Mistakes:

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