On Mon, Sep 17, 2018 at 2:24 PM, Warren Weckesser
wrote:
>
>
> On Mon, Sep 17, 2018 at 7:38 AM Matthew Brett
> wrote:
>>
>> Hi,
>>
>> Is there any reason that np.count_nonzero should not take an axis
>> argument? As in:
>>
>> >>> np.better_count_nonzero([[10, 11], [0, 3]], axis=1)
>> array([2, 1
Hi,
Assignment between structured arrays are matching by the order of fields,
not by names of fields.
Is there a recommended way of assignment by matching field names? I can see
one way is to explicitly looping over the names; another possibility is to
use the field names of the target array to i
It looks good to me too, to especially with Eric's refinements.
Best regards,
Stéfan
On September 16, 2018 21:23:44 Stephan Hoyer wrote:
This seems like a minor and uncontroversial improvement. No objections from me!
On Sun, Sep 16, 2018 at 2:01 PM Matti Picus wrote:
A new contributor submit
I can enter a search term (say `ndarray`) in
www.numpy.org/devdocs/search.html, but the result is empty. It worked
yesterday. My firefox javascript debug console for the remote search says:
jQuery.Deferred exception: Search is not defined
@http://www.numpy.org/devdocs/search.html?q=ndarray:34:
On Mon, Sep 17, 2018 at 7:38 AM Matthew Brett
wrote:
> Hi,
>
> Is there any reason that np.count_nonzero should not take an axis
> argument? As in:
>
> >>> np.better_count_nonzero([[10, 11], [0, 3]], axis=1)
> array([2, 1])
>
>
It already does (since version 1.12.0):
https://docs.scipy.org/doc/
On Mon, 2018-09-17 at 12:37 +0100, Matthew Brett wrote:
> Hi,
>
> Is there any reason that np.count_nonzero should not take an axis
> argument? As in:
>
No, sounds like an obvious improvement, but as also with those, someone
has to volunteer to do it...
Coding it will probably mean adding the N
On Mon, Sep 17, 2018, at 9:37 PM, Matthew Brett wrote:
> >>> np.better_count_nonzero([[10, 11], [0, 3]], axis=1)
> array([2, 1])
>
> It would be much more useful if it did...
You might know about this already, but I not too long ago discovered
np.apply_along_axis [1], which is a magical function
Hi,
Is there any reason that np.count_nonzero should not take an axis
argument? As in:
>>> np.better_count_nonzero([[10, 11], [0, 3]], axis=1)
array([2, 1])
It would be much more useful if it did...
Cheers,
Matthew
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I am pleased to announce release 2018.3 of SfePy.
Description
---
SfePy (simple finite elements in Python) is a software for solving systems of
coupled partial differential equations by the finite element method or by the
isogeometric analysis (limited support). It is distributed under t
