If there are no objections, I'll file this ticket in the trac site:
Title:
Return type inconsistency in recarray
Description:
The sub-arrays of rank-0 recarrays are returned as scalars rather than
rank-0 ndarrays.
Example:
>>> import numpy as N
>>> dt = N.dtype([('x','f8'),('y','f8')])
>>>
On Tuesday 20 March 2007 18:57:18 Robert Kern wrote:
> Is there an init_loess function in cloess.c? If cloess.c was created by
> Pyrex from cloess.pyx, then Pyrex will make an initcloess function. The
> module name needs to be consistent throughout.
Ahah, that was the problem. Thanks a lot Robert,
Bryan Cole wrote:
>I'm not sure where best to post this, but I get a memory leak when using
>code with both numpy and FFT(from Numeric) together:
>
>e.g.
>
>
>
import numpy
import FFT
def test():
>... while 1:
>... data=numpy.random.random(2048)
>...
I'm not sure where best to post this, but I get a memory leak when using
code with both numpy and FFT(from Numeric) together:
e.g.
>>> import numpy
>>> import FFT
>>> def test():
... while 1:
... data=numpy.random.random(2048)
... newdata = FFT.real_fft(data)
>>> test()
and m
On 3/22/07, Stefan van der Walt <[EMAIL PROTECTED]> wrote:
> On Wed, Mar 21, 2007 at 02:59:06PM -0500, eric jones wrote:
> > Just looked at this... Now that is just cool.
> >
> > I'd say it should be part of Numpy.
>
> Very useful! A file cache would be handy, and can be implemented
> using the c
On Wed, Mar 21, 2007 at 02:59:06PM -0500, eric jones wrote:
> Just looked at this... Now that is just cool.
>
> I'd say it should be part of Numpy.
Very useful! A file cache would be handy, and can be implemented
using the checksum of the page from
http://www.scipy.org/Numpy_Example_List?acti
Just looked at this... Now that is just cool.
I'd say it should be part of Numpy.
eric
Bill Baxter wrote:
> On 3/19/07, Bill Baxter <[EMAIL PROTECTED]> wrote:
>
>> I wrote a little python module to go fetch the Numpy examples from the
>> scipy wiki page, parse them, and print out entries.
>
Alright, may all the trickery rest until that day.
One thing I need to do however is patch a column of "ones" onto a sparse
matrix of format n * d with n >> d. I tried "concatenate" and it didn't work
so I did like this:
def spInsCol(X):
"insert doc string"
n, d = shape(X)
X = X.tocsc(
El dc 21 de 03 del 2007 a les 09:23 +0100, en/na Miquel Poch va
escriure:
> Hi,
>
> I'm trying to translate some Matlab functions. I don't know exactly
> how make and equivalent for function find(). This give us the index of
> an array where a condition it's true.
>
> I've found some options like
Fred Romelfanger wrote:
> When I use co to check the code out of svn, running setup.py and building
> the code works fine, but when I export the code or create a source
> distribution that includes numpy the .svn directories get stripped.
>
> svn export http://svn.scipy.org/svn/numpy/trunk numpy
>
Miquel Poch wrote:
> Hi,
>
> I'm trying to translate some Matlab functions. I don't know exactly how
> make and equivalent for function find(). This give us the index of an
> array where a condition it's true.
>
> I've found some options like this one: (a>0).nonzero(), where a is the
> array and
dmitrey wrote:
> Hallo!
> Excuse my bad English.
>
> In the web page
> http://www.scipy.org/BaseArray/Application
> in the section
Note that this was an application for last year's GSoC. It's not an idea for
this year's GSoC.
> Now I'm writing some code and want to know, what will dotwise and ma
When I use co to check the code out of svn, running setup.py and building
the code works fine, but when I export the code or create a source
distribution that includes numpy the .svn directories get stripped.
svn export http://svn.scipy.org/svn/numpy/trunk numpy
I then get the following error whe
Hi,
I'm trying to translate some Matlab functions. I don't know exactly how make
and equivalent for function find(). This give us the index of an array where
a condition it's true.
I've found some options like this one: (a>0).nonzero(), where a is the array
and (a>0) the condition. But the probl
I might be using the wrong terminology but I'm trying to take a 2d
array where each row has a department object and then 36 floats after
it, eg: [dept1, 3,6,7...]
With SQL or R i know how to collapse a simple 2d data structure like
this. For example in SQL:
select dept, stddev(field1)... from tbl_
Hallo!
Excuse my bad English.
In the web page
http://www.scipy.org/BaseArray/Application
in the section
Project details and tentative schedule
you refer to the dead link with name
http://numeric.scipy.org/array_interface.html
which leads to
http://numpy.scipy.org//array_interface.html
whi
On 21/03/07, Andrew Corrigan <[EMAIL PROTECTED]> wrote:
> Thanks for pointing that out. Technically that works, but it doesn't really
> express this operation as concisely and as naturally as I'd like to be able
> to.
>
> What I really want is to be able to write:
>
> >>> a = array([lambda x: x**
Good point! I think I will, Thanks a lot.
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On Mar 21, 2007, at 6:58 AM, Anne Archibald wrote:
> Vectorizing apply is what you're looking for, by the sound of it:
> In [13]: a = array([lambda x: x**2, lambda x: x**3])
>
> In [14]: b = arange(5)
>
> In [15]: va = vectorize(lambda f, x: f(x))
>
> In [16]: va(a[:,newaxis],b[newaxis,:])
> Out[
Ah! So much ado about nothing. What I was looking for was in fact:
B[A_idx][:,A_idx] ... it's even explained in the the NumPy for Matlab Users
doc on scipy.org
/Thank you
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Hi David,
> The "worst" problem I encountered is that sparse matrices do not
> seem to support the kind of indexing I need. At least I get
> "NotImplementedError: sequence indexing not yet fully supported"
> and " supports slices only of a single row"
> errors all the time.
I agree .. thi
On Wednesday 21 March 2007 09:52, Andrew Corrigan wrote:
> Anne Archibald gmail.com> writes:
> > Vectorizing apply is what you're looking for, by the sound of it:
> > In [13]: a = array([lambda x: x**2, lambda x: x**3])
> >
> > In [14]: b = arange(5)
> >
> > In [15]: va = vectorize(lambda f, x: f(
Ok, I will bump this once ...
The "worst" problem I encountered is that sparse matrices do not seem to
support the kind of indexing I need. At least I get "NotImplementedError:
sequence indexing not yet fully supported" and "
supports slices only of a single row" errors all the time.
Any advice
Anne Archibald gmail.com> writes:
> Vectorizing apply is what you're looking for, by the sound of it:
> In [13]: a = array([lambda x: x**2, lambda x: x**3])
>
> In [14]: b = arange(5)
>
> In [15]: va = vectorize(lambda f, x: f(x))
>
> In [16]: va(a[:,newaxis],b[newaxis,:])
> Out[16]:
> array([
On 21/03/07, Andrew Corrigan <[EMAIL PROTECTED]> wrote:
> This is a feature I've been wanting for a long time, so I'm really glad that
> Shane brought this up.
>
> While I was hoping for a gain in speed, that isn't the only reason that I
> would
> like to see this added. In fact, the most compel
Robert Kern gmail.com> writes:
>
> Shane Holloway wrote:
> > To the vector-processing masters of numpy!
> >
> > I'm wanting to optimize calling a list (or array) of callable
> > objects. Consider the following:
> >
> > vCallables = numpy.array([ > classes, builtin functions>])
> > vParam1
On Tue, Mar 20, 2007 at 08:48:46PM -0600, Charles R Harris wrote:
> On 3/20/07, Pierre GM <[EMAIL PROTECTED]> wrote:
> >
> >On Tuesday 20 March 2007 15:29:01 Charles R Harris wrote:
> >> but I want
> >> to suggest that we run pychecker, and maybe pylint, over the python code
> >to
> >> look for err
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