On Di, 2015-03-10 at 11:22 -0700, Nathaniel Smith wrote:
On Mar 10, 2015 11:15 AM, Paul Hobson pmhob...@gmail.com wrote:
On Mon, Mar 9, 2015 at 4:33 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Mon, Mar 9, 2015 at 2:34 PM, Paul Hobson pmhob...@gmail.com
wrote:
I
Am 11.03.2015 um 23:18 schrieb Dp Docs sdpa...@gmail.com:
On Wed, Mar 11, 2015 at 10:34 PM, Gregor Thalhammer
gregor.thalham...@gmail.com mailto:gregor.thalham...@gmail.com wrote:
On the scipy mailing list I also answered to Amine, who is also interested
in this proposal.
Thanks to all of you for such a nice Discussion and Suggestion. I think
most of my doubts have been resolved. If there will be something more i
will let you people Know.
Thanks again.
--
Durgesh pandey
IIIT Hyderabad,India
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NumPy-Discussion mailing
On 03/12/2015 10:15 AM, Gregor Thalhammer wrote:
Another note, numpy makes it easy to provide new ufuncs, see
http://docs.scipy.org/doc/numpy-dev/user/c-info.ufunc-tutorial.html
from a C function that operates on 1D arrays, but this function needs to
support arbitrary spacing (stride)
On Thu, Mar 12, 2015 at 1:31 PM, Johannes Kulick
johannes.kul...@ipvs.uni-stuttgart.de wrote:
Hello,
I wonder if it would be worth to enhance max, min, argmax and argmin
(more?)
with a tie breaking parameter: If multiple entries have the same value
the first
value is returned by now. It
Hello,
I wonder if it would be worth to enhance max, min, argmax and argmin (more?)
with a tie breaking parameter: If multiple entries have the same value the first
value is returned by now. It would be useful to have a parameter to alter this
behavior to an arbitrary tie-breaking. I would
On Sun, Mar 8, 2015 at 3:43 PM, Ralf Gommers ralf.gomm...@gmail.com wrote:
On Sat, Mar 7, 2015 at 12:40 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
Hi All,
Time to start thinking about numpy 1.10.
Sounds good. Do we have a volunteer for release manager already?
I guess it
I think the question is if scalars should be acceptable for the first
argument, not if it should be for the 2nd and 3rd argument.
If scalar can be given for the first argument, the the first three makes
sense. Although, I have no clue why we would allow that.
Ben Root
On Mar 12, 2015 9:25 PM,
Ralf Gommers wrote:
On Wed, Mar 11, 2015 at 11:20 PM, Dp Docs sdpa...@gmail.com wrote:
On Thu, Mar 12, 2015 at 2:01 AM, Daπid davidmen...@gmail.com wrote:
On 11 March 2015 at 16:51, Dp Docs sdpa...@gmail.com wrote:
On Wed, Mar 11, 2015 at 7:52 PM, Sturla Molden
On Mar 12, 2015 5:02 PM, Charles R Harris charlesr.har...@gmail.com
wrote:
Hi All,
This is apropos gh-5582 dealing with some corner cases of np.where. The
following are the current behavior
import numpy
numpy.where(True) # case 1
... (array([0]),)
numpy.where(True, None, None) # case
On Wed, Mar 11, 2015 at 11:20 PM, Dp Docs sdpa...@gmail.com wrote:
On Thu, Mar 12, 2015 at 2:01 AM, Daπid davidmen...@gmail.com wrote:
On 11 March 2015 at 16:51, Dp Docs sdpa...@gmail.com wrote:
On Wed, Mar 11, 2015 at 7:52 PM, Sturla Molden sturla.mol...@gmail.com
wrote:
There
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