We Are Going To Discuss About **Random number between 0 and 1? **. So lets Start this Python Article.

## 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.