|
Size: 1552
Comment:
|
Size: 3645
Comment:
|
| Deletions are marked like this. | Additions are marked like this. |
| Line 2: | Line 2: |
'''`random`''' is a module for pseudo-random number generation. |
|
| Line 9: | Line 11: |
| == BetaVariate == | == Usage == |
| Line 11: | Line 13: |
| ---- == 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()` || || |
| Line 173: | Line 44: |
| [[https://pymotw.com/3/random/|Python Module of the Day article for random]] |
Python Random
random is a module for pseudo-random number generation.
Contents
Usage
Function |
Meaning |
betavariate() |
|
choice() |
|
choices() |
|
expovariate() |
|
gammavariate() |
|
gauss(mu, sigma) |
return a 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() |
|
See also
Python random module documentation
Python Module of the Day article for random