Reputation: 7795
random.randrange(start, stop)
only takes integer arguments. So how would I get a random number between two float values?
Upvotes: 705
Views: 854157
Reputation: 2146
For completness sake: If you use numpy, you can also call the uniform
method on an instance of random number generator (now the preferred way in numpy when dealing with random numbers).
import numpy as np
seed = 42
low = 0.12
high = 3.45
rng = np.random.default_rng(seed)
rng.uniform(low, high)
Upvotes: 1
Reputation: 13610
Use random.uniform(a, b):
>>> import random
>>> random.uniform(1.5, 1.9)
1.8733202628557872
Upvotes: 1042
Reputation: 119
Use this to get random floating point number between range n to m:
import random
random.uniform(n,m)
If you want to get a random float number up to x decimal places you can use this instead:
import random
round(random.uniform(n, m), x)
Upvotes: 2
Reputation: 455
From my experience dealing with python, I can only say that the random function can help in generating random float numbers. Take the example below;
import random
# Random float number between range 15.5 to 80.5
print(random.uniform(15.5, 80.5))
# between 10 and 100
print(random.uniform(10, 100))
The random.uniform() function returns a random floating-point number between a given range in Python
The two sets of code generates random float numbers. You can try experimenting with it to give you what you want.
Upvotes: 17
Reputation: 2884
Most commonly, you'd use:
import random
random.uniform(a, b) # range [a, b) or [a, b] depending on floating-point rounding
Python provides other distributions if you need.
If you have numpy
imported already, you can used its equivalent:
import numpy as np
np.random.uniform(a, b) # range [a, b)
Again, if you need another distribution, numpy
provides the same distributions as python, as well as many additional ones.
Upvotes: 15
Reputation: 2094
if you want generate a random float with N digits to the right of point, you can make this :
round(random.uniform(1,2), N)
the second argument is the number of decimals.
Upvotes: 151