Random number between 0 and 1 in python [duplicate]

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Random number between 0 and 1?

How to solve Random number between 0 and 1 in python [duplicate]

You can use random.uniform
import random random.uniform(0, 1)

Random number between 0 and 1 in python [duplicate]

You can use random.uniform
import random random.uniform(0, 1)

Solution 1

You can use random.uniform

import random
random.uniform(0, 1)

Original Author jh314 Of This Content

Solution 2

random.random() does exactly that

>>> import random
>>> for i in range(10):
...     print(random.random())
... 
0.908047338626
0.0199900075962
0.904058545833
0.321508119045
0.657086320195
0.714084413092
0.315924955063
0.696965958019
0.93824013683
0.484207425759

If you want really random numbers, and to cover the range [0, 1]:

>>> import os
>>> int.from_bytes(os.urandom(8), byteorder="big") / ((1 << 64) - 1)
0.7409674234050893

Original Author John La Rooy Of This Content

Solution 3

I want a random number between 0 and 1, like 0.3452

random.random() is what you are looking for:

From python docs:
random.random() Return the next random floating point number in the
range [0.0, 1.0).


And, btw, Why your try didn’t work?:

Your try was: random.randrange(0, 1)

From python docs:
random.randrange() Return a randomly selected element from range(start, stop, step). This is equivalent to choice(range(start, stop, step)), but doesn’t actually build a range object.

So, what you are doing here, with random.randrange(a,b) is choosing a random element from range(a,b); in your case, from range(0,1), but, guess what!: the only element in range(0,1), is 0, so, the only element you can choose from range(0,1), is 0; that’s why you were always getting 0 back.

Original Author alsjflalasjf.dev Of This Content

Solution 4

you can use use numpy.random module, you can get array of random number in shape of your choice you want

>>> import numpy as np
>>> np.random.random(1)[0]
0.17425892129128229
>>> np.random.random((3,2))
array([[ 0.7978787 ,  0.9784473 ],
       [ 0.49214277,  0.06749958],
       [ 0.12944254,  0.80929816]])
>>> np.random.random((3,1))
array([[ 0.86725993],
       [ 0.36869585],
       [ 0.2601249 ]])
>>> np.random.random((4,1))
array([[ 0.87161403],
       [ 0.41976921],
       [ 0.35714702],
       [ 0.31166808]])
>>> np.random.random_sample()
0.47108547995356098

Original Author Hackaholic Of This Content

Conclusion

So This is all About This Tutorial. Hope This Tutorial Helped You. Thank You.

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I am an Information Technology Engineer. I have Completed my MCA And I have 4 Year Plus Experience, I am a web developer with knowledge of multiple back-end platforms Like PHP, Node.js, Python and frontend JavaScript frameworks Like Angular, React, and Vue.

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