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Baseball data in 2D form

You realize that it makes more sense to restructure all this information in a 2D numpy array.

You have 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 list is baseball and it has been loaded for you already (although you can't see it).

Store the data as a 2D array to unlock numpy's extra functionality.

This exercise is part of the course

Introduction to Python

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Exercise instructions

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

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

import numpy as np

# Create a 2D numpy array from baseball: np_baseball
np_baseball = 

# Print out the shape of np_baseball
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