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authorGeorg Brandl <georg@python.org>2011-09-17 20:36:28 +0200
committerGeorg Brandl <georg@python.org>2011-09-17 20:36:28 +0200
commit21c69b1043d510d29928c15cb9e3e2c1c23f1d0a (patch)
treec3b5abd39b165dcd32c80ec9e7e4b22d0312b050
parent1549bac6bac601502f9a3647a67fe549d3a05a4d (diff)
downloadcpython-git-21c69b1043d510d29928c15cb9e3e2c1c23f1d0a.tar.gz
Add info from the docstring for random.gammavariate() to the docs.
-rw-r--r--Doc/library/random.rst7
1 files changed, 7 insertions, 0 deletions
diff --git a/Doc/library/random.rst b/Doc/library/random.rst
index e18b217c90..de98c040d4 100644
--- a/Doc/library/random.rst
+++ b/Doc/library/random.rst
@@ -196,6 +196,7 @@ be found in any statistics text.
The end-point value ``b`` may or may not be included in the range
depending on floating-point rounding in the equation ``a + (b-a) * random()``.
+
.. function:: triangular(low, high, mode)
Return a random floating point number *N* such that ``low <= N <= high`` and
@@ -226,6 +227,12 @@ be found in any statistics text.
Gamma distribution. (*Not* the gamma function!) Conditions on the
parameters are ``alpha > 0`` and ``beta > 0``.
+ The probability distribution function is::
+
+ x ** (alpha - 1) * math.exp(-x / beta)
+ pdf(x) = --------------------------------------
+ math.gamma(alpha) * beta ** alpha
+
.. function:: gauss(mu, sigma)