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Issue #4869: clarify documentation for random.expovariate.

This commit is contained in:
Mark Dickinson 2009-01-07 17:48:33 +00:00
parent fde5b803d8
commit e6dc53120d
2 changed files with 10 additions and 6 deletions
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8
Doc/library/random.rst
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@ -210,9 +210,11 @@ be found in any statistics text.
.. function:: expovariate(lambd) .. function:: expovariate(lambd)
Exponential distribution. *lambd* is 1.0 divided by the desired mean. (The Exponential distribution. *lambd* is 1.0 divided by the desired
parameter would be called "lambda", but that is a reserved word in Python.) mean. It should be nonzero. (The parameter would be called
Returned values range from 0 to positive infinity. "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) .. function:: gammavariate(alpha, beta)

8
Lib/random.py
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@ -413,9 +413,11 @@ class Random(_random.Random):
def expovariate(self, lambd): def expovariate(self, lambd):
"""Exponential distribution. """Exponential distribution.
lambd is 1.0 divided by the desired mean. (The parameter would be lambd is 1.0 divided by the desired mean. It should be
called "lambda", but that is a reserved word in Python.) Returned nonzero. (The parameter would be called "lambda", but that is
values range from 0 to positive infinity. 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 # lambd: rate lambd = 1/mean