:)
would encourage numpy to do the same
Jeff
>
> On Nov 14, 2021, at 2:32 PM, Charles R Harris
> wrote:
>
>
>
>
>> On Sun, Nov 14, 2021 at 11:40 AM Ralf Gommers wrote:
>>
>>
>>> On Sun, Nov 14, 2021 at 6:14 PM Charles R Harris
>>>
>> Drop support for Python 3.7 (3.10 will be available).
FYI pandas is going to drop 3.7 in 1.4 (likely releases early next year)
>
> On Jun 9, 2021, at 4:16 PM, Ralf Gommers wrote:
>
>
>
>
>> On Wed, Jun 9, 2021 at 8:19 PM Charles R Harris
>> wrote:
>> Hi All,
>>
>> Here are some
or
this purpose:
https://github.com/PMEAL/porespy/blob/dev/porespy/tools/_unpadfunc.py
On Mon, Apr 12, 2021 at 9:15 PM Stephan Hoyer wrote:
> On Mon, Apr 12, 2021 at 5:12 PM Jeff Gostick wrote:
>
>> I guess I should have clarified that I was inquiring about proposing a
>> 'feat
> (x[20:20+orig_x.shape[0]]).
>
> Aaron Meurer
>
> >
> >
> > On Mon, Apr 12, 2021 at 1:15 PM Jeff Gostick wrote:
> >>
> >> I often find myself padding an array to do some processing on it (i.e.
> to avoid edge artifacts), then I need to remove the padding.
nts on the right hand side, because Python interprets an ending slice
> of zero differently -- you need to write something like x[20:] to undo
> padding by [(20, 0)].
>
>
> On Mon, Apr 12, 2021 at 1:15 PM Jeff Gostick wrote:
>
>> I often find myself padding an array to do some
bers (e.g [-20, -4] would undo a
padding of [20, 4]). This seems like a pretty obvious feature to me so
maybe I've just missed something, but I have looked through all the open
and closed issues on github and don't see anything related to this.
Jeff G
___
pandas has already dropped 3.6 support in our coming 1.2 release (nov 2020);
1.1.x supports 3.6
> On Nov 1, 2020, at 9:04 PM, Charles R Harris
> wrote:
>
>
>
>
> On Sun, Nov 1, 2020 at 6:48 PM Mark Harfouche
> wrote:
>>>
>>> Do you think the proposal is not in compliance? There is no
hello,
sorry newbe to numpy.
I want to define a three-dim array.
I know this works:
>>> np.array([[[1,2],[3,4]],[[5,6],[7,8]]])
array([[[1, 2],
[3, 4]],
[[5, 6],
[7, 8]]])
But can you tell why this doesnt work?
>>> np.array([[1,2],[[1,2],[3,4]]])
Traceback (most
Looks great. thanks a lot
From: NumPy-Discussion
on behalf of
Stephan Hoyer
Sent: Monday, July 9, 2018 10:50 AM
To: Discussion of Numerical Python
Subject: Re: [Numpy-discussion] Looking for description/insight/documentation
on matmul
Hi Jeff,
I think PEP
On 09/07/18 09:48, jeff saremi wrote:
> Is there any resource available or anyone who's able to describe
> matmul operation of matrices when n > 2?
>
> The only description i can find is: "If either argument is N-D, N > 2,
> it is treated as a stack of matrices residi
t; which is very cryptic to me.
Could someone break this down please?
when a [2 3 5 6] is multiplied by a [7 8 9] what are the resulting dimensions?
is there one answer to that? Is it deterministic?
What does "residing in the last two indices" mean? What is broadc
On 08/14/2017 10:19 AM, Jeff Layton wrote:
On 08/14/2017 03:51 AM, Ralf Gommers wrote:
I'm definitely at a lose here. I have no idea how to make F2PY
work with the PGI compilers. I'm beginning to think F2PY is
completely borked unless you use the defaults (gcc).
That's
On 08/14/2017 10:27 AM, Jeff Layton wrote:
On 08/14/2017 04:05 AM, Pauli Virtanen wrote:
Ralf Gommers kirjoitti 14.08.2017 klo 09:51:
I'm definitely at a lose here. I have no idea how to make F2PY
work
with the PGI compilers. I'm beginning to think F2PY is completely
borked
C/C++ code on platform 'posix' with
'gcc' compiler
Good point about f2py. I'm using the Anaconda distribution of f2py and
that may have limitations with respect to the PGI compiler. I may
download the f2py source and build it to include PGI support. Maybe that
will fix the problem.
Tha
+SciPy list
On Sat, Aug 5, 2017 at 7:24 AM, Jeff Layton <layto...@att.net
<mailto:layto...@att.net>> wrote:
Good afternoon!
I'm trying to build a Python module using F2PY on a simple Fortran
code using the PGI 17.4 community compilers.
I'm using Conda 4.3.21
from f2py is at the end of the email. Any suggestions are
greatly appreciated.
Thanks!
Jeff
Output from f2py:
running build
running config_cc
unifing config_cc, config, build_clib, build_ext, build commands
--compiler options
running config_fc
unifing config_fc, config, build_clib, build_ext
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