[[https://github.com/JulianGaal/python-cheat-sheet/blob/master/NumPy.md|NumPy Cheat Sheet]] - useful for those new to numpy.

**Animals dataset for Python**

  
  import numpy as np
   
  animals_interpretations = np.array([
    [1, 1, 0, 0, 0, 1, 1, 0],
    [0, 0, 1, 0, 0, 1, 1, 1],
    [0, 0, 0, 0, 0, 1, 0, 0],
    [1, 0, 0, 0, 0, 1, 0, 0],
    [0, 0, 1, 0, 1, 0, 1, 0],
    [0, 0, 0, 0, 1, 1, 1, 0],
    [0, 0, 0, 1, 0, 1, 1, 0],
    [1, 0, 0, 1, 0, 1, 1, 0],
    [0, 1, 0, 0, 0, 1, 1, 0],
    [0, 1, 1, 0, 0, 1, 1, 0],
    [0, 0, 0, 0, 0, 1, 1, 1],
    [0, 0, 1, 0, 0, 1, 1, 0],
    [0, 0, 0, 0, 0, 1, 1, 0],
    ], dtype=bool)
  
  animals_evaluations = np.array(
    [1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 1],
    dtype=bool)
  
  labels_x = "Flies", "Hair", "Fins", "Feathers", "Scales", "Breathes air", \
        "Bones", "Funky nose"
  labels_y = "Bat", "Dolphin", "Earthworm", "Bee", "Carp", "T-Rex", "Penguin", \
        "Parrot", "Goat", "Platypus", "Elephant", "Frog", "Hippo"