Loop over NumPy array

If you're dealing with a $1$D NumPy array, looping over all elements can be as simple as:

for x in my$\_$array :

$...$

If you're dealing with a $2$D NumPy array, it's more complicated. A $2$D array is built up of multiple $1$D arrays. To explicitly iterate over all separate elements of a multi$-$dimensional array, you'll need this syntax:

for x in np$.$nditer$($my$\_$array$)$ :

$...$

Two NumPy arrays that you might recognize from the intro course are available in your Python session: np$\_$height, a NumPy array containing the heights of Major League Baseball players, and np$\_$baseball, a $2$D NumPy array that contains both the heights $($first column$)$ and weights $($second column$)$ of those players.

Instructions

$100$ XP

Import the numpy package under the local alias np$.$

Write a for loop that iterates over all elements in np$\_$height and prints out $"$x inches" for each element, where x is the value in the array.

Write a for loop that visits every element of the np$\_$baseball array and prints it out.