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'''`random`''' is a module for pseudo-random number generation. |
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| === BetaVariate === ---- === Choice === ---- === Choices === ---- === ExpoVariate === ---- === GammaVariate === ---- === Gauss === Returns a pseudo-random `float` from a Gaussian distribution characterized by ''mu'' and ''sigma'' (in that order). {{{ import random r = random.gauss(0, 1) }}} ---- === GetRandBits === ---- === LogNormVariate === ---- === NormalVariate === Returns a pseudo-random `float` from a normal distribution characterized by ''mu'' and ''sigma'' (in that order). {{{ import random r = random.normalvariate(0, 1) }}} ---- === ParetoVariate === ---- === RandBytes === ---- === RandInt === ---- === Random === Returns a pseudo-random `float` between 0 and 1, inclusive of 0. {{{ import random r = random.random() }}} ---- === RandRange === ---- === Sample === ---- === Seed === ---- === Shuffle === ---- === Triangular === ---- === Uniform === Returns a pseudo-random `float` between `a` and `b`, inclusive. {{{ import random r = random.uniform(0,1) }}} Note: due to floating point rounding, it is possible that the high end of the range will ''not'' be included. ---- === VonMisesVariate === ---- === WeibullVariate === |
||'''Function''' ||'''Meaning''' || ||`betavariate()` || || ||`choice()` || || ||`choices()` || || ||`expovariate()` || || ||`gammavariate()` || || ||`gauss(mu, sigma)` ||return a [[Python/Builtins/Types#Float|float]] from the Gaussian distribution characterized by ''mu'' and ''sigma''|| ||`getrandbits()` || || ||`lognormvariate()` || || ||`normalvariate(mu, sigma)`||return a float from the normal distribution characterized by ''mu'' and ''sigma'' || ||`paretovariate()` || || ||`randbytes()` || || ||`randint()` || || ||`random()` ||return a float between 0 and 1, inclusive of 0 || ||`randrange()` || || ||`sample()` || || ||`seed()` || || ||`shuffle()` || || ||`triangular()` || || ||`uniform(a, b)` ||return a float between ''a'' and ''b'', inclusive (except when floating point rounding hits the high value) || ||`vonmisesvariate()` || || ||`weibullvariate()` || || |
Python Random
random is a module for pseudo-random number generation.
Contents
Usage
Function |
Meaning |
betavariate() |
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choice() |
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choices() |
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expovariate() |
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gammavariate() |
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gauss(mu, sigma) |
return a float from the Gaussian distribution characterized by mu and sigma |
getrandbits() |
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lognormvariate() |
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normalvariate(mu, sigma) |
return a float from the normal distribution characterized by mu and sigma |
paretovariate() |
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randbytes() |
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randint() |
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random() |
return a float between 0 and 1, inclusive of 0 |
randrange() |
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sample() |
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seed() |
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shuffle() |
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triangular() |
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uniform(a, b) |
return a float between a and b, inclusive (except when floating point rounding hits the high value) |
vonmisesvariate() |
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weibullvariate() |
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See also
Python random module documentation
Python Module of the Day article for random