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]

Leave a Reply

Please log in using one of these methods to post your comment: Logo

You are commenting using your account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s