On Wednesday 03 January 2007 23:57, Matthew Koichi Grimes wrote:
> Pierre GM wrote:
> > On Wednesday 03 January 2007 15:39, Matthew Koichi Grimes wrote:
> >> As per Stefan's help, I've made a subclass of recarray called nnvalue.
> >> It just fixes the dtype to [('x', 'f8'), ('dx', 'f8'), ('delta',
On 1/3/07, Nils Wagner <[EMAIL PROTECTED]> wrote:
Hi all,
I have tried to build the latest numpy on a 64-bit machine
using OpenSuSE10.2.
I have build BLAS, LAPACK and ATLAS from scratch (g77).
python setup.py build yields
...
creating build/temp.linux-x86_64-2.5/numpy/linalg
compile options:
Pierre GM wrote:
> On Wednesday 03 January 2007 15:39, Matthew Koichi Grimes wrote:
>
>> As per Stefan's help, I've made a subclass of recarray called nnvalue.
>> It just fixes the dtype to [('x', 'f8'), ('dx', 'f8'), ('delta', 'f8)],
>> and adds a few member functions. I basically treat nnvalue
Thanks for the update. For now, I'll try doing what I need to by
sub-classing float. But, I'm gonna miss __array_finalize__ :-).
eric
Travis Oliphant wrote:
> eric jones wrote:
>
>
>> Hey all,
>>
>> I am playing around with sub-classing the new-fangled float64 objects
>> and friends. I r
Hi all,
I have tried to build the latest numpy on a 64-bit machine
using OpenSuSE10.2.
I have build BLAS, LAPACK and ATLAS from scratch (g77).
python setup.py build yields
...
creating build/temp.linux-x86_64-2.5/numpy/linalg
compile options: '-DATLAS_INFO="\"3.7.11\""
-Inumpy/core/include
-I
frbeaxs wrote:
> I am using Python 2.4 with Numpy 0.9.8. Matpylib graphs function
> under these two version except when old numeric must be called to
> utilized the spline function in contouring the graphs leading to the
> error:
>
The version of NumPy compatible with different versions
Hi Stephen,
>
> I'm looking for efficient ways to subtotal a 1-d array onto a 2-D
> grid. This
> is more easily explained in code that words, thus:
>
> for n in xrange(len(data)):
> totals[ i[n], j[n] ] += data[n]
>
> data comes from a series of PyTables files with ~200m rows. Each row
> has ~2
I am using Python 2.4 with Numpy 0.9.8. Matpylib graphs function under
these two version except when old numeric must be called to utilized the
spline function in contouring the graphs leading to the error:
Traceback (most recent call last):
File "C:\File\XXX", line 3, in ?
fr
Hello,
I've been going thru Dave Kuhlman's "SciPy Course Outline" and found
out about test functions -- very cool. Except that on my end, not all
tests pass (appended below). Is this a problem for other people? Is
it something I should worry about?
Here's my setup: Mac G5 w/OS X 10.4.8, usi
eric jones wrote:
>Hey all,
>
>I am playing around with sub-classing the new-fangled float64 objects
>and friends. I really like the new ndarray subclassing features
>(__array_finalize__, etc.), and was exploring whether or not the scalars
>worked the same way. I've stubbed my toe right out o
On Wednesday 03 January 2007 15:39, Matthew Koichi Grimes wrote:
> As per Stefan's help, I've made a subclass of recarray called nnvalue.
> It just fixes the dtype to [('x', 'f8'), ('dx', 'f8'), ('delta', 'f8)],
> and adds a few member functions. I basically treat nnvalue as a struct
> with three e
As per Stefan's help, I've made a subclass of recarray called nnvalue.
It just fixes the dtype to [('x', 'f8'), ('dx', 'f8'), ('delta', 'f8)],
and adds a few member functions. I basically treat nnvalue as a struct
with three equal-shaped array fields: x, dx, and delta.
I'd like it if, when I re
On Wed, Jan 03, 2007 at 04:29:10AM -0600, eric jones wrote:
> I am playing around with sub-classing the new-fangled float64 objects
> and friends. I really like the new ndarray subclassing features
> (__array_finalize__, etc.), and was exploring whether or not the scalars
> worked the same way.
Sven Schreiber schrieb:
> Hi Vincent, of course it depends a little on how exactly your csv file
> looks like, but if you just have column headers and the actual data, you
> might try something like the following:
>
Ok sorry the previous thing doesn't work, I also stumbled over the
strings. Here
Hey all,
I am playing around with sub-classing the new-fangled float64 objects
and friends. I really like the new ndarray subclassing features
(__array_finalize__, etc.), and was exploring whether or not the scalars
worked the same way. I've stubbed my toe right out of the blocks
though. I
Vincent Nijs schrieb:
> If there is an easy way to read array data + variable names using the csv
> module it would be great if that could be added to cookbook/InputOutput. I
> couldn't figure out how to do it.
>
>
Hi Vincent, of course it depends a little on how exactly your csv file
looks like
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