Day 28: Boolean Operators with Numpy


Before, the operational operators like < and >= worked with Numpy arrays out of the box. Unfortunately, this is not true for the boolean operators and, or, and not. To use these operators with Numpy, you will need np.logical_and(), np.logical_or() and np.logical_not().

Let’s look into the following examples:

# Create arrays
import numpy as np
my_house = np.array([18.0, 20.0, 10.75, 9.50])
your_house = np.array([14.0, 24.0, 14.25, 9.0])

# my_house greater than 18.5 or smaller than 10
print(np.logical_or(my_house > 18.5, my_house < 10))

# Both my_house and your_house smaller than 11
print(np.logical_and(my_house < 11, your_house < 11))

# Output:
[False  True False  True]
[False False False  True]

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