$2$D Arithmetic

Remember how you calculated the Body Mass Index for all baseball players? numpy was able to perform all calculations element$-$wise $($i$.$e$.$ element by element$).$ For $2$D numpy arrays this isn't any different! You can combine matrices with single numbers, with vectors, and with other matrices.

Execute the code below in the IPython shell and see if you understand:

import numpy as np

np$\_$mat $=$ np$.$array$([[1,2],$

$[3,4],$

$[5,6]])$

np$\_$mat $*2$

np$\_$mat $+$ np$.$array$([10,10])$

np$\_$mat $+$ np$\_$mat

np$\_$baseball is coded for you; it's again a $2$D numpy array with $3$ columns representing height $($in inches$),$ weight $($in pounds$)$ and age $($in years$).$ baseball is available as a regular list of lists and updated is available as $2$D numpy array.

Instructions

$100$ XP

You managed to get hold of the changes in height, weight and age of all baseball players. It is available as a $2$D numpy array, updated. Add np$\_$baseball and updated and print out the result.

You want to convert the units of height and weight to metric $($meters and kilograms, respectively$).$ As a first step, create a numpy array with three values: $0\mathrm{.}0254,0\mathrm{.}453592$ and $1.$ Name this array conversion.

Multiply np$\_$baseball with conversion and print out the result.