numpy array with random numbers
import numpy as np
# Creates a numpy array of shape (4,5), filled with random integers between 0 (inclusive) and 10 (exclusive)
rand_array = np.random.randint(0,10,(4,5))numpy array with random numbers
import numpy as np
# Creates a numpy array of shape (4,5), filled with random integers between 0 (inclusive) and 10 (exclusive)
rand_array = np.random.randint(0,10,(4,5))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))numpy randn with a shape of another array
a = np.zeros([2, 3])
print(a.shape)
# outputs: (2, 3)
b = np.random.randn(*a.shape)
print(b.shape)
# outputs: (2, 3)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]Copyright © 2021 Codeinu
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