Industrial Training

Random Module

Python has a built-in module that you can use to make random numbers.

The random module has a set of methods:


Method
Description

seed()

Initialize the random number generator

getstate()

Returns the current internal state of the random number generator

setstate()

Restores the internal state of the random number generator

getrandbits()

Returns a number representing the random bits

randrange()

Returns a random number between the given range

randint()

Returns a random number between the given range

choice()

Returns a random element from the given sequence

choices()

Returns a list with a random selection from the given sequence

shuffle()

Takes a sequence and returns the sequence in a random order

sample()

Returns a given sample of a sequence

random()

Returns a random float number between 0 and 1

uniform()

Returns a random float number between two given parameters

triangular()

Returns a random float number between two given parameters, you can also set a mode parameter to specify the midpoint between the two other parameters

betavariate()

Returns a random float number between 0 and 1 based on the Beta distribution (used in statistics)

expovariate()

Returns a random float number between 0 and 1, or between 0 and -1 if the parameter is negative, based on the Exponential distribution (used in statistics)

gammavariate()

Returns a random float number between 0 and 1 based on the Gamma distribution (used in statistics)

gauss()

Returns a random float number between 0 and 1 based on the Gaussian distribution (used in probability theories)

lognormvariate()

Returns a random float number between 0 and 1 based on a log-normal distribution (used in probability theories)

normalvariate()

Returns a random float number between 0 and 1 based on the normal distribution (used in probability theories)

vonmisesvariate()

Returns a random float number between 0 and 1 based on the von Mises distribution (used in directional statistics)

paretovariate()

Returns a random float number between 0 and 1 based on the Pareto distribution (used in probability theories)

weibullvariate()

Returns a random float number between 0 and 1 based on the Weibull distribution (used in statistics)
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