[NumPy-Tickets] [NumPy] #1747: numpy.median() and numpy.mean() shoud be more predictable

[NumPy Trac]

#1747: numpy.median() and numpy.mean() shoud be more predictable
-------------------------+--------------------------------------------------
 Reporter:  eriko        |       Owner:  somebody   
     Type:  defect       |      Status:  new        
 Priority:  normal       |   Milestone:  Unscheduled
Component:  numpy.core   |     Version:  1.4.0      
 Keywords:  mean median  |  
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 numpy.mean() and numpy.median() behave differnetly when presented one
 dimensional input and a given "axis" argument. While mean() returns a
 result, median() raises an IndexError. I think, both ways are fine as long
 as both functions behave simmilar.

 Example code:

 {{{
 >>> import numpy
 >>> numpy.mean(1, axis=0)
 1.0
 >>> numpy.median(1, axis=0)
 Traceback (most recent call last):
   File "<stdin>", line 1, in <module>
   File "/Library/Frameworks/Python.framework/Versions/6.2/lib/python2.6
 /site-packages/numpy/lib/function_base.py", line 2805, in median
     index = int(sorted.shape[axis]/2)
 IndexError: tuple index out of range
 >>>

 }}}

-- 
Ticket URL: <http://projects.scipy.org/numpy/ticket/1747>
NumPy <http://projects.scipy.org/numpy>
My example project