On Sat, Oct 11, 2008 at 00:38, Linda Seltzer
<[EMAIL PROTECTED]> wrote:
> Thank you. It produced this error message:
> NameError: global name 'npy' is not defined
Note the line:
import numpy as npy
>> In numpy it's
>>import numpy as npy
>>a = npy.zeros((256,256))
>>
>>a[0,0] = 1.0
Thank you. It produced this error message:
NameError: global name 'npy' is not defined
> In numpy it's
>import numpy as npy
>a = npy.zeros((256,256))
>
>a[0,0] = 1.0
>a[200,123] = -42.0
># etc...
>
> I think you were just missing the extra parentheses in the numpy
> version of "
On Sat, Oct 11, 2008 at 2:16 PM, Linda Seltzer
<[EMAIL PROTECTED]> wrote:
> I would appreciate it if someone could answer my question without
> referring to subjects such as APIs and interfaces, since I am only
> concerned with a mathematical application at this time.
> In most tutorials, array exa
I would appreciate it if someone could answer my question without
referring to subjects such as APIs and interfaces, since I am only
concerned with a mathematical application at this time.
In most tutorials, array examples are of the form:
a = array([1, 2, 3], [4, 5, 6] )
The problem with this is t
On Fri, Oct 10, 2008 at 21:42, Linda Seltzer
<[EMAIL PROTECTED]> wrote:
> This worked:
> from numpy.oldnumeric import *
To be clear, you mean that this worked to replace the statement "from
Numeric import *" in the older code that you mentioned in your
previous thread.
> Should I use
> from numpy
This worked:
from numpy.oldnumeric import *
Should I use
from numpy import *
(Does the first statement use outdated software?)
I want to use 2-D arrays. Please advise me on the best way to do this.
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Hi All,
Using the current trunk, I am getting the following build error:
creating build\temp.win32-2.5\Release\build
creating build\temp.win32-2.5\Release\build\src.win32-2.5
creating build\temp.win32-2.5\Release\build\src.win32-2.5\numpy
creating build\temp.win32-2.5\Release\build\src.win32-2.5\
Rober Kern wrote:
> Numeric is an old, obsolete package. numpy is the successor. You
> installed numpy, not Numeric. Unfortunately, there is no Python 2.5
> binary available for Numeric.
Actually, there is - but not from the numpy/Numeric/SciPy team as they
want to encourage people to move over to
On Fri, Oct 10, 2008 at 10:26 PM, Linda Seltzer
<[EMAIL PROTECTED]> wrote:
>
> Hello Group Members:
>
> Can someone please answer a question about installing Numerical Python and
> getting it to work. I downloaded the ... new file
> numpy-1.2.0-win32-superpack-python2.5 [.exe I assume?]
You have
On Fri, Oct 10, 2008 at 16:26, Linda Seltzer
<[EMAIL PROTECTED]> wrote:
> Hello Group Members:
>
> Can someone please answer a question about installing Numerical Python and
> getting it to work. I downloaded the files. They are in
> C:\Program Files\Python25
>
> I have the python code and also t
Hello Group Members:
Can someone please answer a question about installing Numerical Python and
getting it to work. I downloaded the files. They are in
C:\Program Files\Python25
I have the python code and also the new file
numpy-1.2.0-win32-superpack-python2.5
There is also a text file, numpy.
David Cournapeau wrote:
Hi David,
> Michael Abshoff wrote:
>> Well, I think that having a 64 bit native build of numpy/scipy using an
>> efficient and non-commercial licensed BLAS/Lapack (i.e. not Intel MKL)
>> can't be a bad thing :)
>
> Yes, of course. But it is useful to be able to use a 32
On Thu, Oct 9, 2008 at 2:48 PM, Neal Becker <[EMAIL PROTECTED]> wrote:
> David Huard wrote:
>
> > On Thu, Oct 9, 2008 at 9:40 AM, Neal Becker <[EMAIL PROTECTED]> wrote:
> >
> >> David Huard wrote:
> >>
> >> > Neal,
> >> >
> >> > Look at: apply_along_axis
> >> >
> >> >
> >> I guess it'd be:
> >>
>
Michael Abshoff wrote:
>
> Well, I think that having a 64 bit native build of numpy/scipy using an
> efficient and non-commercial licensed BLAS/Lapack (i.e. not Intel MKL)
> can't be a bad thing :)
Yes, of course. But it is useful to be able to use a 32 bits toolchain
to produce 64 bits software
David Cournapeau wrote:
> Ravi wrote:
Hi,
>> Michael Abshoff already responded to the ATLAS question. I don't have access
>> to a 64-bit Windows. Given the volume of legacy 32-bit applications where I
>> work, there is no chance of 64-bit Windows access for me for at least 2
>> years.
>
> Win
Ravi wrote:
>
> Michael Abshoff already responded to the ATLAS question. I don't have access
> to a 64-bit Windows. Given the volume of legacy 32-bit applications where I
> work, there is no chance of 64-bit Windows access for me for at least 2 years.
Windows 64 actually has a very nice feature:
On Friday 10 October 2008 03:06:26 David Cournapeau wrote:
> > Given that commenting out the section above allows numpy to compile
> > without any apparent side effects, is there any chance we could get
> > "experimental" binaries of numpy 1.2.0 for python 2.6? I do understand
> > that a negative a
Hi Niki
2008/10/10 Niki Spahiev <[EMAIL PROTECTED]>:
> can i use numpy for handling NURBS splines? Especially i like to make
> arc approximation of NURBS.
I have Runten Tenfjord's NURBs module, modified for NumPy, as part of
my (incomplete) super-resolution library:
http://mentat.za.net/supreme
2008/10/10 Gael Varoquaux <[EMAIL PROTECTED]>:
> I have been unable to vectorize the following operation::
>
>window_size = 10
>nb_windows = 819
>nb_clusters = 501
>restricted_series = np.random.random(size=(window_size, nb_clusters,
>
David Cournapeau wrote:
Hi David,
>
> I started a wiki page on the issues related to windows, 64 bits and
> python 2.6 (those issues are somewhat related at some level):
>
> http://scipy.org/scipy/numpy/wiki/MicrosoftToolchainSupport
Cool.
> If you want to help, you can try solving one proble
Gael Varoquaux wrote:
> On Fri, Oct 10, 2008 at 04:02:21AM -0700, Scott Askey wrote:
>
>>> Subject: matlab ss2tf in python/symbol in linear algebra/transfer functions
>>> To: numpy-discussion@scipy.org
>>> Date: Thursday, October 9, 2008, 5:36 PM
>>> Is there a clever way to do symbolic linear a
Hi list,
I have been unable to vectorize the following operation::
window_size = 10
nb_windows = 819
nb_clusters = 501
restricted_series = np.random.random(size=(window_size, nb_clusters,
nb_windows))
this_cov = np.zeros((nb
On Fri, Oct 10, 2008 at 04:02:21AM -0700, Scott Askey wrote:
> > Subject: matlab ss2tf in python/symbol in linear algebra/transfer functions
> > To: numpy-discussion@scipy.org
> > Date: Thursday, October 9, 2008, 5:36 PM
> > Is there a clever way to do symbolic linear algebra with
> > python? What
Hello,
can i use numpy for handling NURBS splines? Especially i like to make
arc approximation of NURBS.
thanks,
Niki
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> Subject: matlab ss2tf in python/symbol in linear algebra/transfer functions
> To: numpy-discussion@scipy.org
> Date: Thursday, October 9, 2008, 5:36 PM
> Is there a clever way to do symbolic linear algebra with
> python? What is the prober tool for doing linear algebra
> with matrices containi
Ravi wrote:
>
>
> Given that commenting out the section above allows numpy to compile without
> any apparent side effects, is there any chance we could get "experimental"
> binaries of numpy 1.2.0 for python 2.6? I do understand that a negative
> answer
> is very likely and the reasons therefor
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