Exercise

# Loop over Numpy array

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

```
for x in my_array :
...
```

If you're dealing with a 2D Numpy array, it's more complicated. A 2D array is built up of multiple 1D 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 2D 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.