On Thu, Feb 24, 2011 at 10:35 AM, Mustapha BOUIKHIF <
mustapha.bouik...@idris.fr> wrote:
> Benjamin,
>
> I am not in numpy install dir and have the error however:
>
> #python
> Python 2.6 (r26:66714, Nov 9 2010, 01:31:57)
> [GCC 4.3.4 [gcc-4_3-branch revision 152973]] on linux2
> Type "help", "co
On Thu, Feb 24, 2011 at 12:00 PM, Bryan Woods wrote:
> Hello,
>
> I am loading in data from the GRIB2 files using PyNIO. Once I load them
> into numpy arrays I am left with a halo of values near the array boundaries
> that appear to be empty. When I print them or use them in conditional
> stateme
On Mon, Feb 28, 2011 at 8:36 AM, Bruce Southey wrote:
> On 02/28/2011 02:00 AM, Ralf Gommers wrote:
> > Hi,
> >
> > On Fri, Jan 28, 2011 at 7:15 AM, Travis Oliphant
> wrote:
> >> The reason for a NumPy 1.6 suggestion, is that Mark (and others it would
> >> seem) have additional work and features
On Mon, Feb 28, 2011 at 9:25 AM, Bruce Southey wrote:
> On 02/28/2011 09:02 AM, Benjamin Root wrote:
> [snip]
> >
> >
> > So, is there still no hope in addressing this old bug report of mine?
> >
> > http://projects.scipy.org/numpy/ticket/1562
> >
>
On Mon, Feb 28, 2011 at 11:45 AM, Bruce Southey wrote:
> On 02/28/2011 09:47 AM, Benjamin Root wrote:
>
> On Mon, Feb 28, 2011 at 9:25 AM, Bruce Southey wrote:
>
>> On 02/28/2011 09:02 AM, Benjamin Root wrote:
>> [snip]
>> >
>> >
>> > So
On Fri, Mar 4, 2011 at 9:11 PM, Charles R Harris
wrote:
>
>
> On Fri, Mar 4, 2011 at 7:49 PM, Charles R Harris <
> charlesr.har...@gmail.com> wrote:
>
>>
>>
>> On Fri, Mar 4, 2011 at 6:41 PM, Charles R Harris <
>> charlesr.har...@gmail.com> wrote:
>>
>>>
>>>
>>> On Fri, Mar 4, 2011 at 12:54 PM, Ch
On Sat, Mar 5, 2011 at 7:44 AM, Pauli Virtanen wrote:
> On Fri, 04 Mar 2011 22:58:14 -0600, Benjamin Root wrote:
> > I recently had to fix an example in matplotlib where there was a 1xN
> > array being assigned to a 1-D slice of a numpy array. It used to work,
> > but it
This is a very good webpage that helped me when I was transitioning from
matlab to numpy. I hope it is helpful for you as well.
http://www.scipy.org/NumPy_for_Matlab_Users
Ben Root
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On Thu, Mar 10, 2011 at 4:04 AM, Mic J wrote:
> Hi i have a problem with passing a parameter to a function
>
>
> xtickvals = np.arange(0, total_project_days+5, 5)
>
> its for setting ticks on an axis, the x-axis
>
> Ex1: This works
> xticks = pylab.setp(ax2,
> xticklabels=['0','10','20','30','40
On Fri, Mar 11, 2011 at 4:33 PM, Charles R Harris wrote:
>
>
> On Fri, Mar 11, 2011 at 1:10 PM, Mark Wiebe wrote:
>
>> On Fri, Mar 11, 2011 at 8:19 AM, Travis Oliphant
>> wrote:
>>
>>> This discussion is interesting and useful for NumPy 2.0, but the subtle
>>> change is not acceptable for NumPy
On Fri, Mar 11, 2011 at 2:20 PM, Mark Wiebe wrote:
> On Fri, Mar 11, 2011 at 1:07 AM, Ralf Gommers > wrote:
>
>> On Tue, Mar 8, 2011 at 1:35 AM, Pauli Virtanen wrote:
>> >
>> > Structured array copying copies by field name.
>> >
>> > Commit 22d96096bf7d5fb199ca80f2fcd04e8d27815476
>> >
>> > Bef
Hello,
I really like the split() family of functions, but I have the need to split
multiple arrays in a similar manner, and it would seem logical to me to have
a split() function that would return a list of slice tuples that I could use
on multiple arrays. Is there such a function?
Thanks,
Ben R
Came across an odd behavior with a numpy array of datetimes:
>>> import numpy as np
>>> from datetime import datetime
>>> a = np.empty((9, 20), dtype=datetime)
>>> a.fill(datetime.now())
This works:
>>> a.min()
datetime.datetime(2011, 3, 21, 15, 5, 10, 990733)
but, this fails:
>>> np.argmin(a)
T
!
Ben Root
On Mon, Feb 27, 2017 at 2:31 PM, Matthew Brett
wrote:
> Hi,
>
> On Mon, Feb 27, 2017 at 11:27 AM, Charles R Harris
> wrote:
> >
> >
> > On Mon, Feb 27, 2017 at 11:43 AM, Benjamin Root
> > wrote:
> >>
> >> What's the timelin
You are going to need to provide much more context than that. Overhead
compared to what? And where (io, cpu, etc.)? What are the size of your
arrays, and what sort of operations are you doing? Finally, how much
overhead are you seeing?
There can be all sorts of reasons for overhead, and some can e
How is it that scipy.org's bandwidth usage is that much greater than
matplotlib.org's? We are quite image-heavy, but we haven't hit any
bandwidth limits that I am aware of.
Ben Root
On Wed, Mar 15, 2017 at 9:16 AM, Bryan Van de ven
wrote:
> NumPy is a NumFocus fiscally sponsored project, perhap
nabble is the other site that probably should be notified of the mailing
list move.
On Wed, Mar 22, 2017 at 10:11 AM, Nathan Goldbaum
wrote:
> Are you sure about astropy? They recently moved to google groups.
>
>
> On Wednesday, March 22, 2017, Ralf Gommers wrote:
>
>> Hi all,
>>
>> The server
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