Hi,
On Sun, Jun 17, 2012 at 7:22 PM, Charles R Harris
wrote:
>
>
> On Sat, Jun 16, 2012 at 2:33 PM, Matthew Brett
> wrote:
>>
>> Hi,
>>
>> On Sat, Jun 16, 2012 at 8:03 PM, Matthew Brett
>> wrote:
>> > Hi,
>> >
>> > On Sat, Jun 16, 2012 at 10:40 AM, Nathaniel Smith wrote:
>> >> On Fri, Jun 15,
Hi,
On Mon, Jun 18, 2012 at 6:55 PM, bob tnur wrote:
> Hi,
> how I can convert (by adding zero) of any non-square numpy matrix in to
> square matrix using numpy? then how to find the minimum number in each row
> except the zeros added(for making square matrix)? ;)
>
Perhaps something like this:
On Mon, Jun 18, 2012 at 11:55 AM, bob tnur wrote:
> Hi,
> how I can convert (by adding zero) of any non-square numpy matrix in to
> square matrix using numpy? then how to find the minimum number in each row
> except the zeros added(for making square matrix)? ;)
>
> ___
Hi,
how I can convert (by adding zero) of any non-square numpy matrix in to
square matrix using numpy? then how to find the minimum number in each row
except the zeros added(for making square matrix)? ;)
___
NumPy-Discussion mailing list
NumPy-Discussion@
On Mon, Jun 18, 2012 at 3:46 PM, Dag Sverre Seljebotn
wrote:
> On 06/18/2012 12:14 PM, Thouis (Ray) Jones wrote:
>> Based on some previous discussion on the numpy list [1] and in
>> now-cancelled PRs [2,3], I'd like to solicit opinions on adding an
>> interface for numpy memory allocation event tr
On 06/18/2012 12:14 PM, Thouis (Ray) Jones wrote:
> Based on some previous discussion on the numpy list [1] and in
> now-cancelled PRs [2,3], I'd like to solicit opinions on adding an
> interface for numpy memory allocation event tracking, as implemented
> in this PR:
>
> https://github.com/numpy/n
Based on some previous discussion on the numpy list [1] and in
now-cancelled PRs [2,3], I'd like to solicit opinions on adding an
interface for numpy memory allocation event tracking, as implemented
in this PR:
https://github.com/numpy/numpy/pull/309
A brief summary of the changes:
- PyDataMem_N
f2py, by default, seems to prefer g77 (no longer maintained, deprecated,
speedy, doesn't support Fortran 90 or Fortran 95) over gfortran
(maintained, slower, Fortran 90 and Fortran 95 support).
This causes problems when we try to compile Fortran 90 extensions using
f2py on platforms where both g77