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numpy generate random array

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Spotless Swiftlet answered on October 5, 2021 Popularity 10/10 Helpfulness 4/10

answer numpy generate random array

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numpy generate random array

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from numpy import random
randArray = random.random(size=(2,4))
 
#输出
#array([[0.93848018,0.42005976,0.81470729,0.98797783],[0.12242703,0.42756378,0.59705163,0.36619101]])

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Source: blog.csdn.net

Tags: generate numpy python random

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Contributed on Jul 27 2022

Spotless Swiftlet

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numpy array with random numbers

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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))

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Source: www.studytonight.com

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Contributed on Oct 05 2021

Important Ibex

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np random array

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# uniform distribution over [0, 1)
np.random.rand(3, 3)
# [[0.20966286 0.72581506 0.78926387]
#  [0.85719525 0.00163033 0.45001818]
#  [0.17630303 0.40184026 0.89585902]]

# discrete uniform distribution in [0, 10)
np.random.randint(0, 10, size=[3,3])
# [[6 8 4]
#  [1 3 3]
#  [6 9 7]]

# normal distribution around 5 with standard deviation of 2
np.random.normal(5, 2, size=[3,3])
# [[3.8768528  5.73747086 3.63564872]
#  [5.49814587 2.62757122 3.61948982]
#  [3.36409537 7.86431236 5.16509868]]

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Source: numpy.org

Tags: np n

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Contributed on May 30 2022

M1k3y

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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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Source: Grepper

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Contributed on Jun 29 2022

Hugh Jass

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numpy generate random array

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