Exercise

Baseball data in 2D form

You have another look at the MLB data and realize that it makes more sense to restructure all this information in a 2D numpy array. This array should have 1015 rows, corresponding to the 1015 baseball players you have information on, and 2 columns (for height and weight).

The MLB was, again, very helpful and passed you the data in a different structure, a Python list of lists. In this list of lists, each sublist represents the height and weight of a single baseball player. The name of this embedded list is baseball.

Can you store the data as a 2D array to unlock numpy's extra functionality?

Instructions

100 XP

Use np.array() to create a 2D numpy array from baseball. Name it np_baseball.
Print out the shape attribute of np_baseball.