[Numpy-discussion] any better way to normalize a matrix
Christopher Barker
Chris.Barker at noaa.gov
Fri Dec 28 19:57:42 EST 2007
Anne Archibald wrote:
> Numpy provides ufuncs as general powerful tools for operating on
> matrices. More can be added relatively easily, they provide not just
> the basic "apply" operation but also "outer" and others. Adding
> another way to accomplish the same operation just adds bulk to numpy.
Maybe so, but if it were up to me, I'd have just the methods, and not
the functions -- I like namespaces and OO design. I've always thought it
was a spurious argument that these kinds of functions can operate on
things that aren't numpy arrays -- it's true, but they all return
arrays, to it's not like they really are universal.
> Surely you don't want to see myarray.arctan()?
This was debated a fair bit on this list when the other methods were
added. Personally, I like functions, rather than methods for things that
"feel" like standard math -- trig functions, etc. I guess abs() kind of
falls on the line.
All I know is that I expected abs() to be a method this time.
-Chris
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Christopher Barker, Ph.D.
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