Question $4(15$ pts$)$:

Given below is a code to extract the fifth column $($Height $($inches$))$ and the last column $($Weight $($lbs$))$ of the nfl DataFrame as two numpy arrays named np$\_$height$\_$in and np $\_$weight$\_$lb$.$ Using the two numpy arrays, write your code to complete the following tasks.

Multiply np$\_$height$\_$in by $0\mathrm{.}0254$ to convert all height measurements from inches to meters. Store the new values in a new array, np$\_$height$\_$m $.$

Multiply np$\_$weight$\_$lb by $0\mathrm{.}453592$ 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$=\frac{\text{w}\text{e}\text{i}\text{g}\text{h}\text{t}(kg)}{\text{h}\text{e}\text{i}\text{g}\text{h}\text{t}(m{)}^2}$

Store the resulting numpy array as bmi $.$

$])$:$\})$:$\}$

$n{p}_{h}eigh{t}_{i}n=np.$array$(nfl.$iloc$[$:$,4].$values$)$

$n{p}_{w}eigh{t}_{l}b=[np.$array$(nfl.$iloc$[$:$,-1]*values)$