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Code Issues Projects Releases Packages Wiki Activity Actions 9

#4979: correct result range for some random functions.

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Georg Brandl 2009-01-18 13:24:10 +00:00
parent 60e79ced94
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Doc/library/random.rst
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@ -188,13 +188,13 @@ be found in any statistics text.
.. function:: uniform(a, b) .. function:: uniform(a, b)
Return a random floating point number *N* such that ``a <= N < b`` for Return a random floating point number *N* such that ``a <= N <= b`` for
``a <= b`` and ``b <= N < a`` for ``b < a``. ``a <= b`` and ``b <= N <= a`` for ``b < a``.
.. function:: triangular(low, high, mode) .. function:: triangular(low, high, mode)
Return a random floating point number *N* such that ``low <= N < high`` and Return a random floating point number *N* such that ``low <= N <= high`` and
with the specified *mode* between those bounds. The *low* and *high* bounds with the specified *mode* between those bounds. The *low* and *high* bounds
default to zero and one. The *mode* argument defaults to the midpoint default to zero and one. The *mode* argument defaults to the midpoint
between the bounds, giving a symmetric distribution. between the bounds, giving a symmetric distribution.
@ -204,8 +204,8 @@ be found in any statistics text.
.. function:: betavariate(alpha, beta) .. function:: betavariate(alpha, beta)
Beta distribution. Conditions on the parameters are ``alpha > 0`` and ``beta > Beta distribution. Conditions on the parameters are ``alpha > 0`` and
0``. Returned values range between 0 and 1. ``beta > 0``. Returned values range between 0 and 1.
.. function:: expovariate(lambd) .. function:: expovariate(lambd)
@ -219,14 +219,15 @@ be found in any statistics text.
.. function:: gammavariate(alpha, beta) .. function:: gammavariate(alpha, beta)
Gamma distribution. (*Not* the gamma function!) Conditions on the parameters Gamma distribution. (*Not* the gamma function!) Conditions on the
are ``alpha > 0`` and ``beta > 0``. parameters are ``alpha > 0`` and ``beta > 0``.
.. function:: gauss(mu, sigma) .. function:: gauss(mu, sigma)
Gaussian distribution. *mu* is the mean, and *sigma* is the standard deviation. Gaussian distribution. *mu* is the mean, and *sigma* is the standard
This is slightly faster than the :func:`normalvariate` function defined below. deviation. This is slightly faster than the :func:`normalvariate` function
defined below.
.. function:: lognormvariate(mu, sigma) .. function:: lognormvariate(mu, sigma)