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Francesc Alted skrev:
> Hi Martin,
[...]
>
> and the output for my machine:
>
> result_array1: [4 2 4 ..., 1 3 4] 1.819
> result_array2: [4 2 4 ..., 1 3 4] 0.308
>
> which is a 6x speed-up. I suppose this should be pretty close of what you
> can
On Fri, May 7, 2010 at 1:47 PM, Patrick Marsh wrote:
> I don't have that directory on my machine, so I'm trying to track down my
> OSX 10.4 install disc to see if I can reinstall it. Thanks for the
> suggestion; I'll let you know tomorrow what happens.
>
You don't need the 10.4 disc, the 10.4 SD
I don't have that directory on my machine, so I'm trying to track down my
OSX 10.4 install disc to see if I can reinstall it. Thanks for the
suggestion; I'll let you know tomorrow what happens.
Patrick
On Thu, May 6, 2010 at 10:44 AM, Ralf Gommers
wrote:
>
>
> On Thu, May 6, 2010 at 11:21 AM, P
On Thu, May 6, 2010 at 11:25 AM, T J wrote:
> Hi,
>
> Is there a way to sort the columns in an array? I need to sort it so
> that I can easily go through and keep only the unique columns.
> ndarray.sort(axis=1) doesn't do what I want as it destroys the
> relative ordering between the various col
Hello Everybody,
Sorry if it's a trivial question. I'm trying to find out if there is a way to
save object array to ascii file. numpy.savetxt() in NumPy V1.3.0 doesn't seem
to work:
>>> import numpy as np
>>> obj_arr = np.zeros((2,), dtype=np.object)
>>> obj_arr[0] = np.array([[1,2,3], [4,5,6],
On Thu, May 6, 2010 at 4:45 PM, T J wrote:
> On Thu, May 6, 2010 at 10:36 AM, wrote:
>>
>> there is a thread last august on unique rows which might be useful,
>> and a thread in Dec 2008 for sorting rows
>>
>> something like
>>
>> np.unique1d(c.view([('',c.dtype)]*c.shape[1])).view(c.dtype).resh
On Thu, May 6, 2010 at 10:36 AM, wrote:
>
> there is a thread last august on unique rows which might be useful,
> and a thread in Dec 2008 for sorting rows
>
> something like
>
> np.unique1d(c.view([('',c.dtype)]*c.shape[1])).view(c.dtype).reshape(-1,c.shape[1])
>
> maybe it's np.unique with nump
What information exactly is `isnan` supposed to communicate?
Put another way, given that it raises NotImplemented for unknown types,
and that bool(NotImplemented) is True, is there a reason by it cannot
return a Python bool (which seems more useful)?
Thanks,
Alan Isaac
> >> np.isnan(np.nan)
True
On Thu, May 6, 2010 at 10:34 AM, Keith Goodman wrote:
> On Thu, May 6, 2010 at 10:25 AM, T J wrote:
>> Hi,
>>
>> Is there a way to sort the columns in an array? I need to sort it so
>> that I can easily go through and keep only the unique columns.
>> ndarray.sort(axis=1) doesn't do what I want a
Hello!
Things are moving quickly in preparation for SciPy 2010: Last week we
announced the
General Conference schedule
(http://conference.scipy.org/scipy2010/schedule.html
),
Tuesday we announced our student sponsorship recipients
(http://conference.scipy.org/scipy2010/student.html
)
and now
On Thu, May 6, 2010 at 1:25 PM, T J wrote:
> Hi,
>
> Is there a way to sort the columns in an array? I need to sort it so
> that I can easily go through and keep only the unique columns.
> ndarray.sort(axis=1) doesn't do what I want as it destroys the
> relative ordering between the various colum
On Thu, May 6, 2010 at 10:25 AM, T J wrote:
> Hi,
>
> Is there a way to sort the columns in an array? I need to sort it so
> that I can easily go through and keep only the unique columns.
> ndarray.sort(axis=1) doesn't do what I want as it destroys the
> relative ordering between the various colu
Hi,
Is there a way to sort the columns in an array? I need to sort it so
that I can easily go through and keep only the unique columns.
ndarray.sort(axis=1) doesn't do what I want as it destroys the
relative ordering between the various columns. For example, I would
like:
[[2,1,3],
[3,5,1],
[0
On Thu, May 6, 2010 at 11:21 AM, Patrick Marsh wrote:
> I apologize for not following up on this thread right away. I was sick for
> a couple of days and then there were several major severe weather outbreaks
> that required me to spend more time at work. With this said, I've resumed
> trying to
Hi Martin,
A Thursday 06 May 2010 08:50:33 Martin Raspaud escrigué:
> Hi all,
>
> I have an old c-extension I want to remove from my code to the benefit of
> numpy, but it looks kind of tricky to me.
>
> Here is the thing:
> I have a number of arrays of the same shape.
> On these arrays, I run
On Thu, May 6, 2010 at 3:08 AM, Austin Bingham wrote:
> >> they'd likely crash.
> >
> > Really?
>
> I base that on the assumption that they'd not know to call
> import_array() in that translation unit. This seems like a reasonable
> assumption because, by defining the macros as such, they are stro
On Thu, May 6, 2010 at 8:21 AM, Charles R Harris
wrote:
>
>
> On Thu, May 6, 2010 at 3:08 AM, Austin Bingham
> wrote:
>
>> >> they'd likely crash.
>> >
>> > Really?
>>
>> I base that on the assumption that they'd not know to call
>> import_array() in that translation unit. This seems like a reaso
>> they'd likely crash.
>
> Really?
I base that on the assumption that they'd not know to call
import_array() in that translation unit. This seems like a reasonable
assumption because, by defining the macros as such, they are strongly
implying that they expect the API functions to be imported for
Am Donnerstag 06 Mai 2010 08:10:35 schrieb Austin Bingham:
> Suppose I defined neither macro in my 'util.h', and that I included
> 'arrayobject.h'. If a user of my library did this:
>
> #include // <-- my library's header
>
> #define PY_ARRAY_UNIQUE_SYMBOL MY_UNIQUE_SYMBOL
> #define NO_IMP
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Hi all,
I have an old c-extension I want to remove from my code to the benefit of numpy,
but it looks kind of tricky to me.
Here is the thing:
I have a number of arrays of the same shape.
On these arrays, I run a sequence of tests, leading to a kind
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