.. 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)
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