[PYTHON MATRIX-SIG] reduce methods

[janko hauser]

Yeah, I think this is the better way. But I wouldn't put this in
MLab.py officially, because it is not Matlab compatible. In the long
run I vote for a common file with standard definitions or to put more
definitions in Numeric.py. 

__Janko

Brien Barton writes:
 > Had an idea while trying out Janko's proposed new MLab.py functions.  Right
 > now:
 > 
 > >>> a
 > 3 6 2
 > 4 9 5
 > >>> minimum.reduce(a)
 > 3 6 2
 > >>> minimum.reduce(a,1)
 > 2 4
 > 
 > In the second case, we're finding the minimum value in each row, so the
 > result I would expect is:
 > 
 > 2
 > 4
 > 
 > In other words, I'd expect the axis that was "reduced" to change to a length
 > of one instead of completely going away.  Modifying Janko's min function to
 > do this...
 > 
 >  def mmin(m,axis=0):
 >      if axis == None:
 >          return minimum.reduce(ravel(m))
 >      else:
 >          new_shape = list(m.shape)
 > 	 new_shape[axis] = 1
 >          return reshape(minimum.reduce(m,axis), new_shape)
 > 
 > Opinions??
 > 
 > -- Brien
 > 
 > 
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