Merged revisions 68378 via svnmerge from

mdickinson · mdickinson · commit 2f947369b37c · 2009-01-07T17:54:07.000Z
svn+ssh://pythondev@svn.python.org/python/trunk ........ r68378 | mark.dickinson | 2009-01-07 17:48:33 +0000 (Wed, 07 Jan 2009) | 2 lines Issue #4869: clarify documentation for random.expovariate. ........
diff --git a/Doc/library/random.rst b/Doc/library/random.rst
@@ -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)
diff --git a/Lib/random.py b/Lib/random.py
@@ -396,9 +396,11 @@ def lognormvariate(self, mu, sigma):
     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
