Answers for "numpy.random.randn"

python random number numpy

from numpy import random

x = random.randint(100)

print(x)

numpy random in python

import numpy as np  
a=np.random.rand(5,2)  
print(a)

numpy random

from numpy import random
n = random.randint(lowerbound(inclusive), higherbound(exclusive))

np.random.randn()

>>> 2.5 * np.random.randn(2, 4) + 3
array([[-4.49401501,  4.00950034, -1.81814867,  7.29718677],  #random
       [ 0.39924804,  4.68456316,  4.99394529,  4.84057254]]) #random

np.random.rand()

# train test split
df = pd.read_csv('file_location')
mask = np.random.rand(len(df)) < 0.8
train  = df[mask]
test = df[~mask]

numpy randit

x=1