random.jumpahead

All Samples(10) | Call(10) | Derive(0) | Import(0)

jumpahead(int) -> None.  Create new state from existing state and integer.

random.setstate

All Samples(10) | Call(10) | Derive(0) | Import(0)

Restore internal state from object returned by getstate().

random.gammavariate

All Samples(8) | Call(6) | Derive(0) | Import(2)

Gamma distribution.  Not the gamma function!

Conditions on the parameters are alpha > 0 and beta > 0.

random.betavariate

All Samples(7) | Call(5) | Derive(0) | Import(2)

Beta distribution.

Conditions on the parameters are alpha > 0 and beta > 0.
Returned values range between 0 and 1.

random.weibullvariate

All Samples(4) | Call(4) | Derive(0) | Import(0)

Weibull distribution.

alpha is the scale parameter and beta is the shape parameter.

random.chioce

All Samples(1) | Call(1) | Derive(0) | Import(0)

No Document.

random.randint

All Samples(1) | Call(1) | Derive(0) | Import(0)

No Document.

random.select

All Samples(1) | Call(1) | Derive(0) | Import(0)

No Document.

random.foo

All Samples(1) | Call(0) | Derive(0) | Import(1)

No Document.

random.vonmisesvariate

All Samples(1) | Call(1) | Derive(0) | Import(0)

Circular data distribution.

mu is the mean angle, expressed in radians between 0 and 2*pi, and
kappa is the concentration parameter, which must be greater than or
equal to zero.  If kappa is equal to zero, this distribution reduces
to a uniform random angle over the range 0 to 2*pi.

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