I am new to Python and am trying to create a program for a project- firstly, I need to generate a point between the numbers 0-1.0, including 0 and 1.0 ([0, 1.0]). I searched the python library for functions (https://docs.python.org/2/library/random.html) and I found this function:
random.random()
This will return the next random floating point number in the range [0.0, 1.0). This is a problem, since it does not include 1. Although the chances of actually generating a 1 are very slim anyway, it is still important because this is a scientific program that will be used in a larger data collection.
I also found this function:
rand.randint
This will return an integer, which is also a problem.
I researched on the website and previously asked questions and found that this function:
random.uniform(a, b)
will only return a number that is greater than or equal to a and less than b.
Does anyone know how to create a random function on python that will include [0, 1.0]?
Please correct me if I was mistaken on any of this information. Thank you.
*The random numbers represent the x value of a three dimensional point on a sphere.
Python Random random() MethodThe random() method returns a random floating number between 0 and 1.
A random number generator always returns a value between 0 and 1, but never equal to one or the other.
You can use randint(0,50) to generate a random number between 0 and 50. To generate random integers between 0 and 9, you can use the function randrange(min,max) . Change the parameters of randint() to generate a number between 1 and 10.
The random() function allows us to generate random numbers between 0 and 1 (generates floating-point random numbers). It is a default random generator function. The uniform() function generates random numbers between specified ranges rather than 0 and 1 (generates floating-point random numbers).
Could you make do with something like this?
random.randint(0, 1000) / 1000.0
Or more formally:
precision = 3
randomNumber = random.randint(0, 10 ** precision) / float(10 ** precision)
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