In python for the random module, what is the difference between random.uniform() and random.random()? They both generate pseudo random numbers, random.uniform() generates numbers from a uniform distribution and random.random() generates the next random number. What is the difference?
Python Random uniform() Method The uniform() method returns a random floating number between the two specified numbers (both included).
The random() method returns a random floating number between 0 and 1.
randn generates samples from the normal distribution, while numpy. random. rand from a uniform distribution (in the range [0,1)).
random.random() gives you a random floating point number in the range [0.0, 1.0) (so including 0.0, but not including 1.0 which is also known as a semi-open range). random.uniform(a, b) gives you a random floating point number in the range [a, b], (where rounding may end up giving you b).
The implementation of random.uniform() uses random.random() directly:
def uniform(self, a, b): "Get a random number in the range [a, b) or [a, b] depending on rounding." return a + (b-a) * self.random() random.uniform(0, 1) is basically the same thing as random.random() (as 1.0 times float value closest to 1.0 still will give you float value closest to 1.0 there is no possibility of a rounding error there).
In random.random() the output lies between 0 & 1 , and it takes no input parameters
Whereas random.uniform() takes parameters , wherein you can submit the range of the random number. e.g.import random as ra print ra.random() print ra.uniform(5,10)
OUTPUT:-0.672485369423 7.9237539416
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With