Question

How to generate the same random numbers in array using numpy with Python

Answer 1

import numpy as np

np.random.seed(0) 
arr = np.random.rand(5) 
print(arr)

np.random.seed(0) 
arr = np.random.rand(5) 
print(arr)

np.random.seed(0) 
arr = np.random.rand(5) 
print(arr)





'''
run:

[0.5488135  0.71518937 0.60276338 0.54488318 0.4236548 ]
[0.5488135  0.71518937 0.60276338 0.54488318 0.4236548 ]
[0.5488135  0.71518937 0.60276338 0.54488318 0.4236548 ]

'''

 

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Answer 2

import numpy as np

np.random.seed(0) 
arr = np.random.permutation(5)
print(arr)

np.random.seed(0) 
arr = np.random.permutation(5)
print(arr)

np.random.seed(0) 
arr = np.random.permutation(5)
print(arr)





'''
run:

[2 0 1 3 4]
[2 0 1 3 4]
[2 0 1 3 4]

'''

 

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Answer 3

import numpy as np

np.random.seed(0) 
arr = np.random.randint(1, 20, 5)
print(arr)

np.random.seed(0) 
arr = np.random.randint(1, 20, 5)
print(arr)

np.random.seed(0) 
arr = np.random.randint(1, 20, 5)
print(arr)





'''
run:

[13 16  1  4  4]
[13 16  1  4  4]
[13 16  1  4  4]

'''

 

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