To subset both regular Python lists and numpy arrays, you can use square brackets:

x $=[4,9,6,3,1]$

x$[1]$

import numpy as np

y $=$ np$.$array$($x$)$

y$[1]$

For numpy specifically, you can also use boolean numpy arrays:

high $=$ y $>5$

y$[$high$]$

The code that calculates the BMI of all baseball players is already included. Follow the instructions and reveal interesting things from the data! height$\_$in and weight$\_$lb are available as regular lists.

Instructions

$100$ XP

Create a boolean numpy array: the element of the array should be True if the corresponding baseball player's BMI is below $21.$ You can use the $<$ operator for this. Name the array light.

Print the array light.

Print out a numpy array with the BMIs of all baseball players whose BMI is below $21.$ Use light inside square brackets to do a selection on the bmi array