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numpy random

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Innocent Iguana answered on May 28, 2021 Popularity 10/10 Helpfulness 5/10

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import numpy as np
np.random.seed(123)
print(np.random.randint(1,7)) # Random integer between 1 and 6
print(np.random.rand()) # Random float
np.random.random((2, 4)) # Matrix of 2 rows and 4 cols with random values

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Contributed on Oct 30 2023

Innocent Iguana

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np.random

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np.random.rand(3,2)
array([[ 0.14022471,  0.96360618],  #random
       [ 0.37601032,  0.25528411],  #random
       [ 0.49313049,  0.94909878]]) #random

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Source: numpy.org

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Contributed on Feb 15 2022

Friendly Fly

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numpy random in python

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

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Contributed on May 28 2021

Bored Bug

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numpy random matrix

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import numpy as np
n = 2
m = 3
print(np.random.randn(n, m))
# prints random matrix with n rows and m columns
# example:
# array([[ 1.01267696, -1.85632995,  0.23078345],
#        [ 0.34365521, -1.27063438,  2.90131288]])

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Contributed on Jun 29 2022

Hugh Jass

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numpy random

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

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Contributed on Sep 23 2021

Motionless Manatee

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random number numpy

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import numpy as np

# Generate a single random number between 0 and 1
random_number = np.random.random()
print(random_number)

# Generate an array of 5 random numbers between 0 and 1
random_array = np.random.random(5)
print(random_array)

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Contributed on Sep 12 2023

YOU.com

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numpy random

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