'''
03 - Baseball player's BMI

The MLB also offers to let you analyze their weight data. Again, both are available as regular
Python lists: height and weight. height is in inches and weight is in pounds.

It's now possible to calculate the BMI of each baseball player. Python code to convert height to
a numpy array with the correct units is already available in the workspace. Follow the instructions
step by step and finish the game!

Instructions:

 - Create a numpy array from the weight list with the correct units. Multiply by 0.453592 to go from
   pounds to kilograms. Store the resulting numpy array as np_weight_kg.
 
 -  Use np_height_m and np_weight_kg to calculate the BMI of each player. Use the following equation:
    BMI=weight(kg)/height(m)2

 - Save the resulting numpy array as bmi.
 
 - Print out bmi.
'''
# height and weight are available as a regular lists

# Import numpy
import numpy as np

# Calculate the BMI: bmi
np_height_m = np.array(height) * 0.0254
np_weight_kg = np.array(weight) * 0.453592
bmi = np_weight_kg / np_height_m ** 2

# Create the light array
light = np.array(bmi < 21)

# Print out light
print(light)

# Print out BMIs of all baseball players whose BMI is below 21
print(bmi[light])
'''
03 - Baseball player's BMI

The MLB also offers to let you analyze their weight data. Again, both are available as regular
Python lists: height and weight. height is in inches and weight is in pounds.

It's now possible to calculate the BMI of each baseball player. Python code to convert height to
a numpy array with the correct units is already available in the workspace. Follow the instructions
step by step and finish the game!

Instructions:

 - Create a numpy array from the weight list with the correct units. Multiply by 0.453592 to go from
   pounds to kilograms. Store the resulting numpy array as np_weight_kg.
 
 -  Use np_height_m and np_weight_kg to calculate the BMI of each player. Use the following equation:
    BMI=weight(kg)/height(m)2

 - Save the resulting numpy array as bmi.
 
 - Print out bmi.
'''
# height and weight are available as a regular lists

# Import numpy
import numpy as np

# Calculate the BMI: bmi
np_height_m = np.array(height) * 0.0254
np_weight_kg = np.array(weight) * 0.453592
bmi = np_weight_kg / np_height_m ** 2

# Create the light array
light = np.array(bmi < 21)

# Print out light
print(light)

# Print out BMIs of all baseball players whose BMI is below 21
print(bmi[light])
03 - Baseball player's BMI  The MLB also offers to let you analyze their weight data. Again, both are available as regular Python lists: height and weight. height is in inches and weight is in pounds.  It's now possible to calculate the BMI of each baseball player. Python code to convert height to a numpy array with the correct units is already available in the workspace. Follow the instructions step by step and finish the game!  Instructions:   - Create a numpy array from the weight list with the correct units. Multiply by 0.453592 to go from    pounds to kilograms. Store the resulting numpy array as np_weight_kg.    -  Use np_height_m and np_weight_kg to calculate the BMI of each player. Use the following equation:     BMI=weight(kg)/height(m)2   - Save the resulting numpy array as bmi.    - Print out bmi. # height and weight are available as a regular lists # Import numpy # Calculate the BMI: bmi # Create the light array # Print out light # Print out BMIs of all baseball players whose BMI is below 21