On Mar 1, 2010, at 1:02 AM, Peter Shinners wrote:
>> Here is the code as I would like it to work.
> http://python.pastebin.com/CsEnUrSa
>
>
> import numpy as np
>
> values = np.array((40, 18, 37, 9, 22))
> index = np.arange(3)[None,:] + np.arange(5)[:,None]
> mask = index >= len(values)
>
> ma
On Mon, Mar 1, 2010 at 1:35 PM, James Bergstra
wrote:
> Could someone point me to documentation (or even numpy src) that shows
> how to allocate a numpy.int8 in C, or check to see if a PyObject is a
> numpy.int8?
In numpy, the type is described in the dtype type object, so you
should create the a
On Feb 28, 2010, at 11:12 PM, Charles R Harris wrote:
>
>
> __
>
> Ah, Pierre, now that you are here... ;) Can you take a look at the invalid
> value warnings in the masked array tests and maybe fix them up by turning
> off the warnings where appropriate? I'd do it myself except that I he
On 02/28/2010 08:01 PM, Pierre GM wrote:
> On Feb 28, 2010, at 8:59 PM, Peter Shinners wrote:
>
>> I have a 2D masked array that has indices into a 1D array. I want to use
>> some form of "take" to fetch the values into the 2D array. I've tried
>> both numpy.take and numpy.ma.take, but they bot
Could someone point me to documentation (or even numpy src) that shows
how to allocate a numpy.int8 in C, or check to see if a PyObject is a
numpy.int8?
Thanks,
James
--
http://www-etud.iro.umontreal.ca/~bergstrj
___
NumPy-Discussion mailing list
NumPy
On Sun, Feb 28, 2010 at 9:01 PM, Pierre GM wrote:
> On Feb 28, 2010, at 8:59 PM, Peter Shinners wrote:
> > I have a 2D masked array that has indices into a 1D array. I want to use
> > some form of "take" to fetch the values into the 2D array. I've tried
> > both numpy.take and numpy.ma.take, but
On Feb 28, 2010, at 8:59 PM, Peter Shinners wrote:
> I have a 2D masked array that has indices into a 1D array. I want to use
> some form of "take" to fetch the values into the 2D array. I've tried
> both numpy.take and numpy.ma.take, but they both return a new unmasked
> array.
Mmh. Surprisin
On Sun, Feb 28, 2010 at 7:58 PM, Ian Mallett wrote:
> On Sun, Feb 28, 2010 at 6:54 PM, Charles R Harris <
> charlesr.har...@gmail.com> wrote:
>
>> Why not just add a vector to get translation? There is no need to go the
>> homogeneous form. Or you can just leave the vectors at length 4 and use a
On Sun, Feb 28, 2010 at 6:54 PM, Charles R Harris wrote:
> Why not just add a vector to get translation? There is no need to go the
> homogeneous form. Or you can just leave the vectors at length 4 and use a
> slice to access the first three components. That way you can leave the ones
> in place.
On Sun, Feb 28, 2010 at 7:35 PM, Ian Mallett wrote:
> On Sun, Feb 28, 2010 at 6:31 PM, Charles R Harris <
> charlesr.har...@gmail.com> wrote:
>
>> As I understand it, you want *different* matrices applied to each vector?
>
> Nope--I need the same matrix applied to each vector.
>
> Because 3D tran
On Sun, Feb 28, 2010 at 6:31 PM, Charles R Harris wrote:
> As I understand it, you want *different* matrices applied to each vector?
Nope--I need the same matrix applied to each vector.
Because 3D translation matrices must, if I understand correctly be 4x4, the
vectors must first be changed to
On Sun, Feb 28, 2010 at 5:53 PM, Ian Mallett wrote:
> Hi,
>
> I have a list of vec3 lists (e.g. [[1,2,3],[4,5,6],[7,8,9],...]). To every
> single one of the vec3 sublists, I am currently applying transformations. I
> need to optimize this with numpy.
>
> To get proper results, as far as I can te
I have a 2D masked array that has indices into a 1D array. I want to use
some form of "take" to fetch the values into the 2D array. I've tried
both numpy.take and numpy.ma.take, but they both return a new unmasked
array.
I can get it working by converting the take results into a masked array
a
Patrick Marsh wrote:
> Hi David,
>
> There really isn't much in the way of commands that I've used - I
> haven't gotten that far. So far, I've downloaded your binaries and then
> attempted to set up my numpy site.cfg file to use your binaries. I used
> the following as my site.cfg
>
> [atlas
On Sun, Feb 28, 2010 at 7:53 PM, Ian Mallett wrote:
> Hi,
>
> I have a list of vec3 lists (e.g. [[1,2,3],[4,5,6],[7,8,9],...]). To every
> single one of the vec3 sublists, I am currently applying transformations. I
> need to optimize this with numpy.
>
> To get proper results, as far as I can tel
Hi David,
There really isn't much in the way of commands that I've used - I haven't
gotten that far. So far, I've downloaded your binaries and then attempted
to set up my numpy site.cfg file to use your binaries. I used the following
as my site.cfg
[atlas]
library_dirs
=
d:\svn\BlasLapack\bina
Hi,
I have a list of vec3 lists (e.g. [[1,2,3],[4,5,6],[7,8,9],...]). To every
single one of the vec3 sublists, I am currently applying transformations. I
need to optimize this with numpy.
To get proper results, as far as I can tell, the vec3 lists must be
expressed as vec4s: [[1,2,3],[4,5,6],[7
On Sun, Feb 28, 2010 at 9:06 PM, Friedrich Romstedt
wrote:
> 2010/2/28 Sebastian Walter :
>>> I think I can use that to make my upy accept arbitrary functions, but
>>> how do you apply sin() to a TTP?
>>
>> perform truncated Taylor expansion of [y]_D = sin([x]_D), i.e.
>> y_d = d^d/dt^d sin( \su
2010/2/28 Sebastian Walter :
>> I think I can use that to make my upy accept arbitrary functions, but
>> how do you apply sin() to a TTP?
>
> perform truncated Taylor expansion of [y]_D = sin([x]_D), i.e.
> y_d = d^d/dt^d sin( \sum_{k=0}^{D-1} x_k t^k) |_{t=0}
> to obtain an explicit algorithm.
>
On 02/28/2010 08:17 PM, josef.p...@gmail.com wrote:
> On Sun, Feb 28, 2010 at 1:51 PM, Xavier Gnata wrote:
>
>> Hi,
>>
>> I'm sure I reinventing the wheel with the following code:
>> from numpy import *
>> from scipy import polyfit,stats
>>
>> def f(x,y,z):
>>return x+y+z
>> M=fromfunction(
On Sun, Feb 28, 2010 at 1:51 PM, Xavier Gnata wrote:
> Hi,
>
> I'm sure I reinventing the wheel with the following code:
> from numpy import *
> from scipy import polyfit,stats
>
> def f(x,y,z):
> return x+y+z
> M=fromfunction(f,(2000,2000,10))
>
> def foo(M):
> ramp=where(M<1000)[0]
is thi
On Sun, Feb 28, 2010 at 10:37, Wayne Watson
wrote:
> Google shows there is a mail list for SciPy, but when I go to the web page
When you say "the web page", please include the URL. Are you talking
about this page:
http://www.scipy.org/Mailing_Lists
?
> it shows GMANE, and various feeds for S
Hi,
I'm sure I reinventing the wheel with the following code:
from numpy import *
from scipy import polyfit,stats
def f(x,y,z):
return x+y+z
M=fromfunction(f,(2000,2000,10))
def foo(M):
ramp=where(M<1000)[0]
l=len(ramp)
t=arange(l)
if(l>1):
return polyfit(t,ramp,1)[0]
On Sun, Feb 28, 2010 at 11:37 AM, Wayne Watson
wrote:
> Google shows there is a mail list for SciPy, but when I go to the web page
> it shows GMANE, and various feeds for SciPy-Dev and User. Maybe I'm missing
> something?
>
> Information about gmane.comp.python.scientific.user
that's the gmane mi
On Feb 28, 2010, at 6:24 AM, Friedrich Romstedt wrote:
> 2010/2/28 Robert Love :
>> What is the efficient numpy way to compare data from two different files?
>> For the nth line in each file I want to operate on the numbers. I've been
>> using loadtxt()
>>
>> data_5x5 = N.loadtxt("file5")
>
Google shows there is a mail list for SciPy, but when I go to the web
page it shows GMANE, and various feeds for SciPy-Dev and User. Maybe
I'm missing something?
Information about gmane.comp.python.scientific.user
The archive for this list can be read the following ways:
On the web, using
28/02/10 @ 01:56 (-0500), thus spake David Warde-Farley:
> On 26-Feb-10, at 8:12 AM, Ernest Adrogué wrote:
>
> > Thanks for the tip. I didn't know that...
> > Also, frompyfunc appears to crash python when the last argument is 0:
> >
> > In [9]: func=np.frompyfunc(lambda x: x, 1, 0)
> >
> > In [10]
Hi,
Do you plan to make some noise about that when numpy2.0 will be release?
IMHO you should.
Do you for instance plan to have a clear announcement on the scipy web site?
Xavier
> Hi,
>
> The test suite passes now on Pythons 2.4 - 3.1. Further testing is very
> welcome -- also on Python 2.x. Plea
On Sun, Feb 28, 2010 at 12:35 PM, Patrick Marsh wrote:
> Greetings,
>
> I have been trying to build the numpy superpack on windows using the
> binaries posted by David. Unfortunately, I haven't even been able to
> correctly write the site.cfg file to locate all three sets of binaries
> needed fo
On Sun, Feb 28, 2010 at 12:47 AM, Friedrich Romstedt
wrote:
> Sebastian, and, please, be not offended by what I wrote. I regret a
> bit my jokes ... It's simply too late at night.
no offense taken
>
> Friedrich
> ___
> NumPy-Discussion mailing list
> Nu
On Sun, Feb 28, 2010 at 12:30 AM, Friedrich Romstedt
wrote:
> 2010/2/27 Sebastian Walter :
>> I'm sorry this comment turns out to be confusing.
>
> Maybe it's not important.
>
>> It has apparently quite the contrary effect of what I wanted to achieve:
>> Since there is already a polynomial module
On Sun, Feb 28, 2010 at 03:01:18PM +0100, Friedrich Romstedt wrote:
> > Well, I might not have to compare ndarrays, but fairly arbitrary
> > structures (dictionnaries, classes and lists) as I am dealing with
> > semi-structured data coming from a stack of unorganised experimental
> > data. Python h
> Well, I might not have to compare ndarrays, but fairly arbitrary
> structures (dictionnaries, classes and lists) as I am dealing with
> semi-structured data coming from a stack of unorganised experimental
> data. Python has some logic for comparing these structures by comparing
> their members, b
On Sun, Feb 28, 2010 at 7:24 AM, Friedrich Romstedt
wrote:
> 2010/2/28 Robert Love :
>> What is the efficient numpy way to compare data from two different files?
>> For the nth line in each file I want to operate on the numbers. I've been
>> using loadtxt()
>>
>> data_5x5 = N.loadtxt("file5")
2010/2/28 Robert Love :
> What is the efficient numpy way to compare data from two different files?
> For the nth line in each file I want to operate on the numbers. I've been
> using loadtxt()
>
> data_5x5 = N.loadtxt("file5")
>
> data_8x8 = N.loadtxt("file8")
>
> for line in data_5x5:
>
On Sun, Feb 28, 2010 at 01:05:15PM +0200, Pauli Virtanen wrote:
> su, 2010-02-28 kello 10:25 +0100, Gael Varoquaux kirjoitti:
> [clip]
> > The problem is that ndarrays cannot be compared. So I have tried to
> > override the 'cmp' in the 'sorted' function, however I am comparing
> > fairly complex o
su, 2010-02-28 kello 10:25 +0100, Gael Varoquaux kirjoitti:
[clip]
> The problem is that ndarrays cannot be compared. So I have tried to
> override the 'cmp' in the 'sorted' function, however I am comparing
> fairly complex objects, and I am having a hard time predicting wich
> member of the object
Hi Patrick,
On Sun, Feb 28, 2010 at 1:35 PM, Patrick Marsh wrote:
> Greetings,
> I have been trying to build the numpy superpack on windows using the
> binaries posted by David.
Could you post *exactly* the sequence of commands you executed ?
Especially at the beginning, building things can be f
Hi,
I need to have list of objects that contain ndarrays to be sorted. The
reason that I want them sorted is that these list are populated in an
arbitrary order, but there order really doesn't matter, and I am trying
to make it reproducible for debugging and hashing.
The problem is that ndarrays
39 matches
Mail list logo
