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Merged revisions 68378 via svnmerge from 

svn+ssh://pythondev@svn.python.org/python/trunk

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  r68378 | mark.dickinson | 2009-01-07 17:48:33 +0000 (Wed, 07 Jan 2009) | 2 lines

  Issue #4869: clarify documentation for random.expovariate.
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This commit is contained in:
Mark Dickinson 2009-01-07 17:54:07 +00:00
parent 1054f95b70
commit 2f947369b3
2 changed files with 10 additions and 6 deletions
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8
Doc/library/random.rst
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@ -169,9 +169,11 @@ be found in any statistics text.
.. function:: expovariate(lambd)
Exponential distribution. *lambd* is 1.0 divided by the desired mean. (The
parameter would be called "lambda", but that is a reserved word in Python.)
Returned values range from 0 to positive infinity.
Exponential distribution. *lambd* is 1.0 divided by the desired
mean. It should be nonzero. (The parameter would be called
"lambda", but that is a reserved word in Python.) Returned values
range from 0 to positive infinity if *lambd* is positive, and from
negative infinity to 0 if *lambd* is negative.
.. function:: gammavariate(alpha, beta)

8
Lib/random.py
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@ -396,9 +396,11 @@ class Random(_random.Random):
def expovariate(self, lambd):
"""Exponential distribution.
lambd is 1.0 divided by the desired mean. (The parameter would be
called "lambda", but that is a reserved word in Python.) Returned
values range from 0 to positive infinity.
lambd is 1.0 divided by the desired mean. It should be
nonzero. (The parameter would be called "lambda", but that is
a reserved word in Python.) Returned values range from 0 to
positive infinity if lambd is positive, and from negative
infinity to 0 if lambd is negative.
"""
# lambd: rate lambd = 1/mean