Yes it does. If you want to avoid this extra copy, and have a
pre-existing output array, you can do:
np.add(a, b, out=c)
('+' on numpy array's is just a synonym for np.add; np.add is a ufunc,
and all ufunc's accept this syntax:
http://docs.scipy.org/doc/numpy/reference/ufuncs.html
)
Is
On Jun 27, 2012, at 1:18 AM, Fernando Perez wrote:
On Tue, Jun 26, 2012 at 11:02 PM, Travis Oliphant tra...@continuum.io wrote:
I just want to speak up for the people who are affected by API breakage who
are not as vocal on this list.
Certainly! And indeed I bet you that's a community
Hi List,
this has been brought up several times, and the response has been
generally positive but it has fallen through the cracks. So here are a
few repeat requests. Am keeping it terse just for brevity
i) Split the list into [devel] and [help] and as was mentioned
recently [rant/flame]:
Le 28/06/2012 02:34, Nathaniel Smith a écrit :
Yes it does. If you want to avoid this extra copy, and have a
pre-existing output array, you can do:
np.add(a, b, out=c)
And is there a temporary copy when using inplace operators like:
c = a.copy()
c += b
Is there a temporary (c+b) array which
Hey all,
I'd like to propose dropping support for Python 2.4 in NumPy 1.8 (not the 1.7
release). What does everyone think of that?
-Travis
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NumPy-Discussion@scipy.org
We try to support numpy questions on http://scicomp.stackexchange.com,
which is a StackOverflow site dedicated towards technical computing issues
that gets a fair amount of traffic from mathematicians and computational
scientists. We could always use more questions and answerers :)
A
On Thu,
Yes, the creation of the tmp *is* the creation of a new NumPy array. So, it
is as expensive.
Travis
--
Travis Oliphant
(on a mobile)
512-826-7480
On Jun 28, 2012, at 12:44 AM, srean srean.l...@gmail.com wrote:
Yes it does. If you want to avoid this extra copy, and have a
pre-existing
There are some good ideas here.
I propose splitting this list into devel and users lists.
This might best be done by creating a new list for users and using this list
for development.
Travis
--
Travis Oliphant
(on a mobile)
512-826-7480
On Jun 27, 2012, at 11:38 PM, srean
--
Travis Oliphant
(on a mobile)
512-826-7480
On Jun 28, 2012, at 1:20 AM, Pierre Haessig pierre.haes...@crans.org wrote:
Le 28/06/2012 02:34, Nathaniel Smith a écrit :
Yes it does. If you want to avoid this extra copy, and have a
pre-existing output array, you can do:
np.add(a, b,
Hi Nathaniel,
On Wed, Jun 27, 2012 at 11:22 AM, Nathaniel Smith n...@pobox.com wrote:
According to the Travis-CI build logs, this code produces
non-deterministic behaviour in master:
a = np.arange(5)
a[:3] = a[2:]
assert_equal(a, [2, 3, 4, 3, 4])
Sometimes 'a' is [2, 3, 4, 3, 4], and
Hi Travis,
On Thu, Jun 28, 2012 at 1:25 PM, Travis Oliphant tra...@continuum.io wrote:
Hey all,
I'd like to propose dropping support for Python 2.4 in NumPy 1.8 (not the 1.7
release). What does everyone think of that?
I think it would depend on 1.7 state. I am unwilling to drop support
Hi Nathaniel,
Le 27/06/2012 20:22, Nathaniel Smith a écrit :
According to the Travis-CI build logs, this code produces
non-deterministic behaviour in master:
You mean non-deterministic across different builds, not across different
executions on the same build, right ?
I just ran a small loop :
Hi Nathaniel,
Thanks for the clearing my understand. This is exactly what i needed.
Thanks,
Nathaniel Smith wrote:
On Thu, Jun 28, 2012 at 12:38 AM, astronomer shailendra.vi...@gmail.com
wrote:
Hi All,
I am wondering if there any difference in memory overhead between the
following
The project/environment we work with already targets Python 2.7, so it'd be
fine for us and our collaborators. But it's hard to comment in a more
altruistic way without knowing the impact of the change. Is it possible to
summarise the benefits? (e.g. Simplifies NumPy codebase; allows better
+1 for a numpy-users list without dev noise.
-=- Olivier
2012/6/28 Travis Oliphant tra...@continuum.io
There are some good ideas here.
I propose splitting this list into devel and users lists.
This might best be done by creating a new list for users and using this
list for development.
2012/6/28 David Cournapeau courn...@gmail.com
Hi Travis,
On Thu, Jun 28, 2012 at 1:25 PM, Travis Oliphant tra...@continuum.io
wrote:
Hey all,
I'd like to propose dropping support for Python 2.4 in NumPy 1.8 (not
the 1.7 release). What does everyone think of that?
I think it
Le jeudi 28 juin 2012 15:33:07, Travis Oliphant a écrit :
There are some good ideas here.
I propose splitting this list into devel and users lists.
This might best be done by creating a new list for users and using this
list for development.
I second that idea.
As one of the silent users
On Thu, Jun 28, 2012 at 7:25 AM, Travis Oliphant tra...@continuum.io wrote:
Hey all,
I'd like to propose dropping support for Python 2.4 in NumPy 1.8 (not the 1.7
release). What does everyone think of that?
As a tangential point, MPL is dropping support for python2.4 in it's
next major
Hi Travis,
On Thu, Jun 28, 2012 at 1:25 PM, Travis Oliphant tra...@continuum.io
wrote:
Hey all,
I'd like to propose dropping support for Python 2.4 in NumPy 1.8 (not
the 1.7 release). What does everyone think of that?
I think it would depend on 1.7 state. I am unwilling to drop
Similar to http://scicomp.stackexchange.com there is
http://meta.programmers.stackexchange.com/ intended for programmers. Darn
it, there are choices involved!
I had proposed http://meta.programmers.stackexchange.com/ on this mailing
list earlier and no-one seemed interested, but maybe now the
Did you mean http://programmers.stackexchange.com? The meta sites on *.
stackexchange.com are used (as one might guess) for meta discussions on the
site.
A
On Thu, Jun 28, 2012 at 4:58 PM, Cera, Tim t...@cerazone.net wrote:
Similar to http://scicomp.stackexchange.com there is
On Thu, Jun 28, 2012 at 4:44 PM, Olivier Delalleau sh...@keba.be wrote:
2012/6/28 David Cournapeau courn...@gmail.com
Hi Travis,
On Thu, Jun 28, 2012 at 1:25 PM, Travis Oliphant tra...@continuum.io
wrote:
Hey all,
I'd like to propose dropping support for Python 2.4 in NumPy 1.8 (not
Warren Weckesser warren.weckes...@enthought.com writes:
In [6]: a = array([1, -2, 3])
In [7]: outer(a, a)
Out[7]:
array([[ 1, -2, 3],
[-2, 4, -6],
[ 3, -6, 9]])
Warren
Thanks,
It is much nicer then my method of adding a zero column.
Petro.
2012/6/28 Ralf Gommers ralf.gomm...@googlemail.com
On Thu, Jun 28, 2012 at 4:44 PM, Olivier Delalleau sh...@keba.be wrote:
2012/6/28 David Cournapeau courn...@gmail.com
Hi Travis,
On Thu, Jun 28, 2012 at 1:25 PM, Travis Oliphant tra...@continuum.io
wrote:
Hey all,
I'd like to
You are correct, I meant http://programmers.stackexchange.com/
And on a site like stackexchange I could actually edit my post instead of
my mistake being permanent. :-)
Kindest regards,
Tim
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Hi,
Le 28/06/2012 15:35, Travis Oliphant a écrit :
It really is inplace. As Nathaniel mentioned --- all ufuncs take an out
keyword.
The inplace mechanism uses this so that one input and the output are the same.
Thanks for the feedback about inplace assignment.
On the other hand, just
A little more research shows that we could have a
http://numpy.stackexchange.com. The requirements are just to have people
involved. See http://area51.stackexchange.com/faq for more info.
Kindest regards,
Tim
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If I remember correctly there used to be a stackexchange site at
ask.scipy.org. It might be good to learn from that experience. I think
handling with spam was a significant problem, but am not sure whether
that is the reson why it got discontinued.
Best
srean
On Thu, Jun 28, 2012 at 11:36 AM,
On Thu, Jun 28, 2012 at 9:06 AM, Pierre Haessig
On the other hand, just like srean mentionned, I think I also misused
the c[:] = a+b syntax.
I feel it's a bit confusing since this way of writing the assignment
really feels likes it happens inplace. Good to know it's not the case.
well, c is
On Wed, Jun 27, 2012 at 2:38 PM, x.pi...@gmail.com wrote:
How how can I perform matrix multiplication of two vectors?
(in matlab I do it like a*a')
np.outer is a bit cleaner, I suppose, but you can exactly the same
thing you do with matlab if a is a column (single column 2-d array):
In [40]:
On Thu, Jun 28, 2012 at 7:04 PM, Chris Barker chris.bar...@noaa.gov wrote:
On Thu, Jun 28, 2012 at 9:06 AM, Pierre Haessig
On the other hand, just like srean mentionned, I think I also misused
the c[:] = a+b syntax.
I feel it's a bit confusing since this way of writing the assignment
really
On Thu, Jun 28, 2012 at 7:13 AM, Pierre Haessig
pierre.haes...@crans.org wrote:
Hi Nathaniel,
Le 27/06/2012 20:22, Nathaniel Smith a écrit :
According to the Travis-CI build logs, this code produces
non-deterministic behaviour in master:
You mean non-deterministic across different builds, not
On Thu, Jun 28, 2012 at 8:06 PM, Nathaniel Smith n...@pobox.com wrote:
On Thu, Jun 28, 2012 at 7:13 AM, Pierre Haessig
pierre.haes...@crans.org wrote:
Hi Nathaniel,
Le 27/06/2012 20:22, Nathaniel Smith a écrit :
According to the Travis-CI build logs, this code produces
non-deterministic
Hi,
On Thu, Jun 28, 2012 at 7:42 AM, Olivier Delalleau sh...@keba.be wrote:
+1 for a numpy-users list without dev noise.
Moderately strong vote against splitting the mailing lists into devel and user.
As we know, this list can be unhappy and distracting, but I don't
think splitting the lists
That is really funny. Looking through the posts, there wasn't any spam
(could have been deleted), but it wasn't used as much as I would think.
Have to attract people who answer questions. Early on the registration
seemed to be a problem.
Solace, the software behind ask.scipy.org looks pretty
On 6/28/12 2:46 PM, Cera, Tim wrote:
That is really funny. Looking through the posts, there wasn't any spam
(could have been deleted), but it wasn't used as much as I would think.
Have to attract people who answer questions. Early on the
registration seemed to be a problem.
Solace, the
On Thu, Jun 28, 2012 at 5:50 AM, Travis Oliphant tra...@continuum.io wrote:
Python in fact has the __future__ imports that help quite a bit for
people to start adapting their codes. How about creating a
numpy.future module where new, non-backward-compatible APIs could go?
That would give the
In case this changes your mind (or assuages fears) just wanted to
point out that many open source projects do this. It is not about
claiming that one is more important than the other, nor does it
reinforce the idea that developers and users live in separate silos,
but more of directing the mails
Hi,
On Thu, Jun 28, 2012 at 1:42 PM, srean srean.l...@gmail.com wrote:
In case this changes your mind (or assuages fears) just wanted to
point out that many open source projects do this. It is not about
claiming that one is more important than the other, nor does it
reinforce the idea that
Am 28.06.2012 um 23:07 schrieb Matthew Brett:
Hi,
On Thu, Jun 28, 2012 at 1:42 PM, srean srean.l...@gmail.com wrote:
In case this changes your mind (or assuages fears) just wanted to
point out that many open source projects do this. It is not about
claiming that one is more important than
Hi,
On Thu, Jun 28, 2012 at 2:30 PM, Hanno Klemm kl...@phys.ethz.ch wrote:
Am 28.06.2012 um 23:07 schrieb Matthew Brett:
Hi,
On Thu, Jun 28, 2012 at 1:42 PM, srean srean.l...@gmail.com wrote:
In case this changes your mind (or assuages fears) just wanted to
point out that many open source
On Thu, Jun 28, 2012 at 2:07 PM, Matthew Brett matthew.br...@gmail.com wrote:
I see that sympy, for example, has only one mailing list, and that
works extremely well. I'd be interested to hear from the Cython and
IPython guys as to whether they feel the user / devel split has helped
or hurt.
Hi,
On Thu, Jun 28, 2012 at 2:57 PM, Fernando Perez fperez@gmail.com wrote:
On Thu, Jun 28, 2012 at 2:07 PM, Matthew Brett matthew.br...@gmail.com
wrote:
I see that sympy, for example, has only one mailing list, and that
works extremely well. I'd be interested to hear from the Cython
And I continue to think it sends the wrong message.
Maybe if you articulate your fears I will be able to appreciate your
point of view more.
My impression is that, at the moment, we numpy-ers are trying to work
out what kind of community we are. Are we a developer community, or
are we some
Could not have said this better even if I tried, so thank you for your
long answer.
-- srean
On Thu, Jun 28, 2012 at 4:57 PM, Fernando Perez fperez@gmail.com wrote:
Long answer, I know...
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On Thu, Jun 28, 2012 at 3:03 PM, Matthew Brett matthew.br...@gmail.com wrote:
Fernando - you told me a week or so ago that you'd come across a blog
post or similar advocating a single list - do you remember the
reference?
Found it after some digging:
http://www.kitware.com/blog/home/post/263
Hi,
On Thu, Jun 28, 2012 at 3:06 PM, srean srean.l...@gmail.com wrote:
And I continue to think it sends the wrong message.
Maybe if you articulate your fears I will be able to appreciate your
point of view more.
Ah - I'm afraid I don't know how to say what I mean more clearly :(
I can
On Thu, Jun 28, 2012 at 3:06 PM, srean srean.l...@gmail.com wrote:
What I like about having two lists is that on one hand it does not
prevent me or you from participating in both, on the other hand it
allows those who dont want to delve too deeply in one aspect or the
other, the option of a
Hi,
On Thu, Jun 28, 2012 at 3:20 PM, Fernando Perez fperez@gmail.com wrote:
On Thu, Jun 28, 2012 at 3:03 PM, Matthew Brett matthew.br...@gmail.com
wrote:
Fernando - you told me a week or so ago that you'd come across a blog
post or similar advocating a single list - do you remember the
I'm not on the python mailing lists, but my impression is that python
is in a different space from numpy. I mean, I have the impression
Indeed one could seek out philosphical differences between different
projects. No two projects are the same but they can and often do have
common issues.
On Thu, Jun 28, 2012 at 3:23 PM, Fernando Perez fperez@gmail.comwrote:
On Thu, Jun 28, 2012 at 3:06 PM, srean srean.l...@gmail.com wrote:
What I like about having two lists is that on one hand it does not
prevent me or you from participating in both, on the other hand it
allows those
Hi,
The doc of PyArray_FILLWBYTE here
http://docs.scipy.org/doc/numpy/reference/c-api.array.html is this
PyArray_FILLWBYTE(PyObject* obj, int val)
Fill the array pointed to by obj —which must be a (subclass of)
bigndarray—with the contents of val (evaluated as a byte).
In the code, what it
I like this solution and I think ask.scipy.org can be revived to take
over that role, but this will need some policing to send standard
questions there and also some hangout time at ask.scipy.org.
I love the stackoverflow model but it requires more active
participation of those who want to
Hi,
On Thu, Jun 28, 2012 at 7:50 PM, srean srean.l...@gmail.com wrote:
I like this solution and I think ask.scipy.org can be revived to take
over that role, but this will need some policing to send standard
questions there and also some hangout time at ask.scipy.org.
Sounds like a good idea
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