[PYTHON MATRIX-SIG] mean, add.reduce, and MLab.py

[Jim Hugunin]

1) MLab.py should not be considered part of NumPy.  It was mainly written 
for me to explore how easily the functionality of matlab could be 
accomplished with NumPy, not as something I expected people to generally 
use.  There are a number of differences in conventions as to how axes are 
treated in NumPy and matlab that makes this project in some ways a bad 
idea.  There should however be a set of useful function like those provided 
in MLab.py.  Unfortunately at the moment I'm more concerned with putting a 
beta-release of the core system together than in designing this useful 
functions module.

2) I don't understand people's complaints about the mean function at all. 
 In fact, getting this to work right for multi-dimensional arrays was one 
of the plethora of reasons that reduce uses axis 0 by default.

Could someone give me an example of how "x - add.reduce(x)/len(x)" doesn't 
work as expected?  I'd argue that if this isn't the result you're looking 
for, then you don't quite understand NumPy's model of an array (I could be 
wrong...)

-Jim


_______________
MATRIX-SIG  - SIG on Matrix Math for Python

send messages to: matrix-sig@python.org
administrivia to: matrix-sig-request@python.org
_______________