Hi there --
Is there a fast way to make a numpy ndarray from column data?
For example, suppose I want to make an ndarray with 2 rows and 3 columns of
different data types based on the following column data:
C0 = [1,2]
C1 = ['a','b']
C2 = [3.3,4.4]
I could create an empty ndarray and fill the co
On Thu, Jul 2, 2009 at 5:34 AM, Pauli Virtanen wrote:
> Don't know, probably we can?
yes, they are functions (the builtins are __real__ and __imag__)
>
> I think that for scipy.special this would be useful. Of course,
> the operator semantics for complex numbers can't be used there,
> but still
On Thu, Jul 2, 2009 at 5:25 AM, Charles R
Harris wrote:
>
>
> On Wed, Jul 1, 2009 at 1:57 PM, Pauli Virtanen wrote:
>>
>> On 2009-07-01, Charles R Harris wrote:
>> > On Wed, Jul 1, 2009 at 1:59 AM, David Cournapeau
>> > wrote:
>> >> I would like to add an explicit configuration test to check
On 2009-07-01, Charles R Harris wrote:
[clip]
> OK. I don't see a problem then. As David says the ufuncs
> already work that way. Hmm... do we want to
> implement creal{l,,f} and cimag{l,,f} also?
They might come useful.
> They are built in functions in gcc, can we detect that?
Don't know, p
On Wed, Jul 1, 2009 at 1:57 PM, Pauli Virtanen wrote:
> On 2009-07-01, Charles R Harris wrote:
> > On Wed, Jul 1, 2009 at 1:59 AM, David Cournapeau <
> da...@ar.media.kyoto-u.ac.jp> wrote:
> >>I would like to add an explicit configuration test to check that our
> >> complex type is compatibl
On Wed, Jul 1, 2009 at 1:57 PM, Pauli Virtanen wrote:
> On 2009-07-01, Charles R Harris wrote:
> > On Wed, Jul 1, 2009 at 1:59 AM, David Cournapeau <
> da...@ar.media.kyoto-u.ac.jp> wrote:
> >>I would like to add an explicit configuration test to check that our
> >> complex type is compatibl
On 2009-07-01, Charles R Harris wrote:
> On Wed, Jul 1, 2009 at 1:59 AM, David Cournapeau
> wrote:
>>I would like to add an explicit configuration test to check that our
>> complex type is compatible with the C99 complex type (when available).
>> Is this ok?
Seems OK to me.
>>As curren
On Wed, Jul 1, 2009 at 1:59 AM, David Cournapeau <
da...@ar.media.kyoto-u.ac.jp> wrote:
> Hi,
>
>I would like to add an explicit configuration test to check that our
> complex type is compatible with the C99 complex type (when available).
> Is this ok ?
>
>As currently defined, complex c t
On 2009-07-01, Nils Wagner wrote:
> I am using
>
numpy.__version__
> '1.4.0.dev7094'
>
> make html yields
>
> /home/nwagner/svn/numpy/doc/source/reference/generated/numpy.trunc.rst::
> WARNING: document isn't included in any toctree
> done
> preparing documents... done
> Exception occurred:
Hi all,
I am using
>>> numpy.__version__
'1.4.0.dev7094'
make html yields
/home/nwagner/svn/numpy/doc/source/reference/generated/numpy.trunc.rst::
WARNING: document isn't included in any toctree
done
preparing documents... done
Exception occurred: 2%] reference/generalized_ufuncs
ures
A Wednesday 01 July 2009 15:04:08 Francesc Alted escrigué:
> However, you can still speed-up out-of-core computations by using the
> recently introduced tables.Expr class (PyTables 2.2b1, see [2]), which uses
> a combination of the Numexpr [3] and PyTables advanced computing
> capabilities:
>
>
On Wed, Jul 1, 2009 at 6:14 PM, Pauli Virtanen wrote:
> Wed, 01 Jul 2009 10:17:51 +0200, Emmanuelle Gouillart kirjoitti:
>> I'm using numpy.memmap to open big 3-D arrays of Xray tomography
>> data. After I have created a new array using memmap, I modify the
>> contrast of every Z-slice (along
Hi Francesc,
many thanks for this very detailed and informative answer! This
list is really great :D.
I'm going to install pytables at once and I will try your scripts
with my data. As your computations were made with files of the same size
as mine, hopefully it should run
Hi Pauli,
thank you for your answer! I was indeed measuring the memory used
with top, which is not the best tool for understanding what really
happens. I monitored "free" during the execution of my program and
indeed, the used numbers on the "+/-buffers/cache" line stays roughly
c
A Wednesday 01 July 2009 10:17:51 Emmanuelle Gouillart escrigué:
> Hello,
>
> I'm using numpy.memmap to open big 3-D arrays of Xray tomography
> data. After I have created a new array using memmap, I modify the
> contrast of every Z-slice (along the first dimension) inside a for loop,
>
Is it possible to use loadtxt in a mult thread way? Basically, I want
to process a very large CSV file (100+ million records) and instead of
loading thousand elements into a buffer process and then load another
1 thousand elements and process and so on...
I was wondering if there is a technique wh
Wed, 01 Jul 2009 10:17:51 +0200, Emmanuelle Gouillart kirjoitti:
> I'm using numpy.memmap to open big 3-D arrays of Xray tomography
> data. After I have created a new array using memmap, I modify the
> contrast of every Z-slice (along the first dimension) inside a for loop,
> for a better vis
On Tue, 30 Jun 2009 13:51:15 -0600
Charles R Harris wrote:
> On Tue, Jun 30, 2009 at 12:26 PM, Nils Wagner
> wrote:
>
>> On Tue, 30 Jun 2009 11:10:39 -0600
>> Charles R Harris wrote:
>> > On Tue, Jun 30, 2009 at 10:56 AM, Charles R Harris <
>> > charlesr.har...@gmail.com> wrote:
>> >
>> >>
>
Hi,
I would like to add an explicit configuration test to check that our
complex type is compatible with the C99 complex type (when available).
Is this ok ?
As currently defined, complex c types (npy_cfloat, etc...) are not
defined in a way such as they are binary compatible with the C99
Hello,
I'm using numpy.memmap to open big 3-D arrays of Xray tomography
data. After I have created a new array using memmap, I modify the
contrast of every Z-slice (along the first dimension) inside a for loop,
for a better visualization of the data. Although I call memmap.flush
af
Hi,
On Mon, Jun 1, 2009 at 10:20 PM, Fernando Perez wrote:
> The time for the Scipy'09 conference is rapidly approaching, and we
> would like to both announce the plan for tutorials and solicit
> feedback from everyone on topics of interest.
rather than rehash much here, where it's not easy to pa
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