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⇤ ← Revision 1 as of 2023-03-01 17:54:42
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| == BetaVariate == | == Usage == === BetaVariate === |
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| == Choice == | === Choice === |
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| == Choices == | === Choices === |
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| == ExpoVariate == | === ExpoVariate === |
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| == GammaVariate == | === GammaVariate === |
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| == Gauss == | === Gauss === |
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| == GetRandBits == | === GetRandBits === |
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| == LogNormVariate == | === LogNormVariate === |
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| == NormalVariate == | === NormalVariate === |
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| == ParetoVariate == | === ParetoVariate === |
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| == RandBytes == | === RandBytes === |
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| == RandInt == | === RandInt === |
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| == Random == | === Random === |
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| == RandRange == | === RandRange === |
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| == Sample == | === Sample === |
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| == Seed == | === Seed === |
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| == Shuffle == | === Shuffle === |
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| == Triangular == | === Triangular === |
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| == Uniform == | === Uniform === |
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| == VonMisesVariate == | === VonMisesVariate === |
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| == WeibullVariate == | === WeibullVariate === |
Python Random
Contents
Usage
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
See also
Python random module documentation