Answers for "np.random seed"

4

np.random.seed

import numpy as np
np.random.seed(42)
random_numbers = np.random.random(size=4)
random_numbers
Posted by: Guest on November-25-2020
2

np random seed

>>> import numpy as np
>>> 
>>> np.random.seed(0)
>>> 
>>> np.random.rand(3)
array([0.5488135 , 0.71518937, 0.60276338])
>>> np.random.rand(3)
array([0.54488318, 0.4236548 , 0.64589411])
>>> 
>>> 
>>> np.random.seed(1)
>>> 
>>> np.random.rand(3)
array([4.17022005e-01, 7.20324493e-01, 1.14374817e-04])
>>> np.random.rand(3)
array([0.30233257, 0.14675589, 0.09233859])
>>> 
>>> 
>>> np.random.seed(0)
>>> 
>>> np.random.rand(3)
array([0.5488135 , 0.71518937, 0.60276338])
>>> np.random.rand(3)
array([0.54488318, 0.4236548 , 0.64589411])
Posted by: Guest on October-28-2020
0

does np.random.randint have a seed

np.random.seed(0)
np.random.randint(10, size = 5)
Posted by: Guest on March-26-2020
0

np.random.seed

array([0.3745012, 0.95071431, 0.73199394, 0.59865848])
Posted by: Guest on November-25-2020
0

numpy random normal seed time

>>> numpy.random.rand(4)
array([ 0.42,  0.65,  0.44,  0.89])
>>> numpy.random.rand(4)
array([ 0.96,  0.38,  0.79,  0.53])
Posted by: Guest on October-19-2020

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