DataCamp
Course Outline

Subsetting NumPy Arrays

100xp

You've seen it with your own eyes: Python lists and numpy arrays sometimes behave differently. Luckily, there are still certainties in this world. For example, subsetting (using the square bracket notation on lists or arrays) works exactly the same. To see this for yourself, try the following lines of code in the IPython Shell:

x = ["a", "b", "c"]
x[1]

np_x = np.array(x)
np_x[1]

The script on the right already contains code that imports numpy as np, and stores both the height and weight of the MLB players as numpy arrays.

Instructions

  • Subset np_weight: print out the element at index 50.
  • Print out a sub-array of np_height: It contains the elements at index 100 up to and including index 110
    Take Hint (-30xp)