A Count True Values in a Boolean Mask in NumPy?
Code Explanation:
● Library Import: numpy is imported as np to work with arrays and perform numerical operations.
● Array Creation: A NumPy array arr is created with integer elements.
● Boolean Mask: mask = arr > 5 creates a boolean array where elements greater than 5 are marked as True.
● Counting Trues: np.sum(mask) adds up the number of True values in the mask (since True is treated as 1).
● Store Result: The count of True values is stored in the variable count.
● Display Output: print(count) prints the number of True values: 2.
Program:
import numpy as np
arr = np.array([3, 6, 9, 2])
mask = arr > 5
count = np.sum(mask)
print(count)
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