On 10/31/07, Alan G Isaac <[EMAIL PROTECTED]> wrote:
> >>> 1.0**numpy.array([1,2,3])
> array([ 1., 1., 1.])
> >>> 1.0**numpy.mat([1,2,3])
> Traceback (most recent call last):
> File "", line 1, in
> TypeError: unsupported operand type(s) for ** or pow(): 'float' and 'matrix'
>
> Why the restri
>>> 1.0**numpy.array([1,2,3])
array([ 1., 1., 1.])
>>> 1.0**numpy.mat([1,2,3])
Traceback (most recent call last):
File "", line 1, in
TypeError: unsupported operand type(s) for ** or pow(): 'float' and 'matrix'
Why the restriction for matrices?
Same question for matrices conformable for broa
On Tue, Oct 30, 2007 at 10:48:25AM -0600, Charles R Harris wrote:
> Just a note that an alpha version of the hitherto mostly invisible
> MTL4 library has been released. It is template based and has automatic
> bindings to blas. You can download it from
> http://www.osl.iu.edu/research/mtl/mtl4/.
I
Thanks all for your suggestions. I see it brought up a lot of
interesting asides. But my loop was simple enough that I was able to
figure it out.
I also took a look at NumExpr. While it wasn't something I needed for
vectorizing, it still looks very interesting. What kinds of performance
improv
Pierre GM gmail.com> writes:
>
> On Tuesday 30 October 2007 13:31:41 John Hunter wrote:
> > In financial time series, it is very common to keep track of things
> > like a trailing N day max, trailing N day average, etc.
>
> John,
> Have you ever tried the timeseries package in the scipy SVN ?
On Tue, Oct 30, 2007 at 12:31:41PM -0500, John Hunter wrote:
> In financial time series, it is very common to keep track of things
> like a trailing N day max, trailing N day average, etc. Generally,
> for a 1D array x, I'd like to be able to efficiently compute a new
> len(x) vector where y[i] =
On Tuesday 30 October 2007 13:55, Pierre GM wrote:
> On Tuesday 30 October 2007 13:31:41 John Hunter wrote:
> > In financial time series, it is very common to keep track of things
> > like a trailing N day max, trailing N day average, etc.
>
> John,
> Have you ever tried the timeseries package in t
On Tuesday 30 October 2007 13:31:41 John Hunter wrote:
> In financial time series, it is very common to keep track of things
> like a trailing N day max, trailing N day average, etc.
John,
Have you ever tried the timeseries package in the scipy SVN ? We (Matt Knox
and I) tried to address some of
In financial time series, it is very common to keep track of things
like a trailing N day max, trailing N day average, etc. Generally,
for a 1D array x, I'd like to be able to efficiently compute a new
len(x) vector where y[i] = func(x[i-N:]) and I need to be able to
handle edge effects (eg where
Just a note that an alpha version of the hitherto mostly invisible
MTL4 library has been released. It is template based and has automatic
bindings to blas. You can download it from
http://www.osl.iu.edu/research/mtl/mtl4/.
Chuck
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Numpy-discussion mail
Hi again,
I'm trying to debug what is going on, but I do not know much about the
universal functions. I'm trying to understand what PyUFunc_GenericFunction()
does and what the parameters should be.
Perhaps I should move to the numpy development list ?
Matthieu
2007/10/29, Matthieu Brucher <[EMAI
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