numpy randn code example
Example 1: numpy randint
>>> np.random.randint(2, size=10)
array([1, 0, 0, 0, 1, 1, 0, 0, 1, 0])
>>> np.random.randint(1, size=10)
array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
Example 2: np.random.randn()
>>> 2.5 * np.random.randn(2, 4) + 3
array([[-4.49401501, 4.00950034, -1.81814867, 7.29718677],
[ 0.39924804, 4.68456316, 4.99394529, 4.84057254]])
Example 3: np.random.rand()
df = pd.read_csv('file_location')
mask = np.random.rand(len(df)) < 0.8
train = df[mask]
test = df[~mask]