[Numpy-discussion] A correction to numpy trapz function
Charles R Harris
charlesr.harris@gmail....
Sun Jul 13 00:49:06 CDT 2008
On Sat, Jul 12, 2008 at 10:30 PM, Nadav Horesh <nadavh@visionsense.com>
wrote:
> I am aware that the error is related to the broadcasting, and that it can
> be solved by matching the shape of x to that of y --- this is how I solved
> it in the first place. I was thinking that the function "promises" to
> integrate over an array given a x vector and the axis, so let obscure the
> broadcasting rules and just enable it to do the work. There is a reason to
> leave trapz as it is (or even drop it) since numpy should stay as close as
> possible to "bare metal", but this function is borrowed also by scipy
> integration package, thus I rather give it a face lift.
>
I think you can pretty much borrow the average function to do this, all you
need to do is generate the proper weights and scaling. It's in
numpy/lib/function_base.py
Chuck
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