generating a dataset about conditions for happiness

happiness-dataset.py

import numpy as np

np.random.seed(42)
s = 500 # number of rows in each combination of categories 
        # (example: 500 rows with cold tea, fast internet, and good books)

# Making the tea
cold = np.around(np.random.uniform(low=0, high=30, size=(s*4,1)), decimals=3)
hot = np.around(np.random.uniform(low=30, high=60, size=(s*4,1)), decimals=3)
burning = np.around(np.random.uniform(low=60, high=90, size=(s*4,1)), decimals=3)

# Plugging the router
slow = np.around(np.random.uniform(low=0, high=20, size=(s*6,1)), decimals=3)
fast = np.around(np.random.uniform(low=20, high=100, size=(s*6,1)), decimals=3)

# Shelving the books
dislike = np.zeros((s*6,1))
like = np.ones((s*6,1))

# Inviting joy
unhappy = np.zeros((s,1))
happy = np.ones((s,1))