On 28/12/2007, Christopher Barker <[EMAIL PROTECTED]> wrote:
> 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
> >
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.
On 28/12/2007, Christopher Barker <[EMAIL PROTECTED]> wrote:
> I like the array methods a lot -- is there any particular reason there
> is no ndarray.abs(), or has it just not been added?
Here I have to disagree with you.
Numpy provides ufuncs as general powerful tools for operating on
matrices.
Anne had it right -- much of the point of numpy is to use nd-arrays as
the powerful objects they are - not just containers. Below is a version
of your code for comparison.
Note to numpy devs:
I like the array methods a lot -- is there any particular reason there
is no ndarray.abs(), or has it
