On Fri, Nov 20, 2009 at 2:28 PM, Keith Goodman wrote:
> On Fri, Nov 20, 2009 at 11:17 AM, wrote:
>> On Fri, Nov 20, 2009 at 1:51 PM, Keith Goodman wrote:
>>> def corr3(x, y):
>>> x = x - x.mean()
>>> x /= x.std()
>>> nx = x.size
>>> one = np.ones(nx)
>>> xy = lfilter(x, 1, y)
>>>
On Fri, Nov 20, 2009 at 11:17 AM, wrote:
> On Fri, Nov 20, 2009 at 1:51 PM, Keith Goodman wrote:
>> def corr3(x, y):
>> x = x - x.mean()
>> x /= x.std()
>> nx = x.size
>> one = np.ones(nx)
>> xy = lfilter(x, 1, y)
>> sy = lfilter(one, 1, y)
>> sy2 = lfilter(one, 1, y*y)
>>
On Fri, Nov 20, 2009 at 1:51 PM, Keith Goodman wrote:
> On Fri, Nov 20, 2009 at 8:53 AM, wrote:
>> scipy.signal.correlate would be fast, but it will not be easy to
>> subtract the correct moving mean. Subtracting a standard moving mean
>> would subtract different values for each observation in
On Fri, Nov 20, 2009 at 8:53 AM, wrote:
> scipy.signal.correlate would be fast, but it will not be easy to
> subtract the correct moving mean. Subtracting a standard moving mean
> would subtract different values for each observation in the window.
>
> One possibility would be to look at a moving
On Thu, Nov 19, 2009 at 9:12 PM, Ian Mallett wrote:
> Hello,
>
> My analysis shows that the exponential regression gives the best result
> (r^2=87%)--power regression gives worse results (r^2=77%). Untransformed
> data gives r^2=76%.
>
> I don't think you want lognorm. If I'm not mistaken, that
On Fri, Nov 20, 2009 at 10:51 AM, Keith Goodman wrote:
> I have a short 1d array x and a large 2d array y. I'd like to locate
> the places in the y array that are most like (correlated to) the x
> array.
>
> My first attempt, corr1, is too slow. My second attempt, corr2, is
> faster but still slow
I have a short 1d array x and a large 2d array y. I'd like to locate
the places in the y array that are most like (correlated to) the x
array.
My first attempt, corr1, is too slow. My second attempt, corr2, is
faster but still slow.
I reuse the same y many times, so my third attempt will probably
A Thursday 19 November 2009 00:48:13 Robert Kern escrigué:
> On Wed, Nov 18, 2009 at 17:43, Mathew Yeates wrote:
> > What limits are there on file size when using memmap?
>
> With a modern filesystem, usually you are only limited to the amount
> of contiguous free space in your process's current
Fri, 20 Nov 2009 10:55:35 +0900, David Cournapeau wrote:
> While checking everything builds for the 1.4.0 release, I noticed a
> problem with building the latex version:
>
> writing... done
> processing numpy-user.tex... user/index user/introduction
> user/whatisnumpy user/install user/howtofind u
Hi Travis,
[...]
On Thu, Nov 19, 2009 at 10:03 PM, Travis Oliphant
wrote:
> Again, the NEP has not been fully implemented yet. What is implemented
> works as far as I can tell, but could use more tests. I would like to
> finish the core functionality before 1.4.0 and will try to do that, but
On Thu, Nov 19, 2009 at 5:45 PM, Dan Yamins wrote:
> Hi all:
>
> I'm just writing to report on my experience using Starcluster, which
> enables the use of NumPy and Scipy in the Amazon EC2 cloud computing
> environment. The purpose of my email is to extol Starcluster's qualities,
> and suggest t
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