Combine Boolean arrays using np.logical_and in NumPy

NumPy: Universal Functions Exercise-19 with Solution

ufunc with Boolean Arrays:

Write a NumPy program that uses np.logical_and to combine two boolean arrays based on element-wise logical AND operation.

Sample Solution:

Python Code:

import numpy as np

# Create two boolean arrays
array_a = np.array([True, False, True, False])
array_b = np.array([True, True, False, False])

# Combine the boolean arrays using np.logical_and
result_array = np.logical_and(array_a, array_b)

# Print the original boolean arrays and the result array
print("Array A:")
print(array_a)

print("\nArray B:")
print(array_b)

print("\nResult Array after applying np.logical_and:")
print(result_array)

Output:

Original Complex Array:
[1.+2.j 3.+4.j 5.+6.j]

Result Array after applying custom ufunc:
[3.0 7.0 11.0]

runfile('C:/Users/ME/untitled1.py', wdir='C:/Users/ME')
Array A:
[ True False  True False]

Array B:
[ True  True False False]

Result Array after applying np.logical_and:
[ True False False False]

Explanation:

• Import NumPy Library:
• Import the NumPy library to handle array operations.
• Create Boolean Arrays:
• Define two boolean arrays 'array_a' and 'array_b' with example data.
• Combine Arrays Using np.logical_and:
• Use "np.logical_and()" to perform an element-wise logical AND operation on the two boolean arrays, storing the result in 'result_array'.
• Print Arrays:
• Output the original boolean arrays and the resulting array after applying "np.logical_and" to verify the operation.

Python-Numpy Code Editor:

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