On Mon, Apr 16, 2012 at 10:40:53PM -0500, Travis Oliphant wrote:
> > The objectors object to any binary ABI change, but not specifically
> > three pointers rather than two or one?
> Adding pointers is not really an ABI change (but removing them after
> they were there would be...) It's really jus
On Tuesday 17 April 2012 11:02 AM, John Mitchell wrote:
Hi,
I am using f2py to pass a numpy array of type numpy.int8 to fortran.
It seems like I am misunderstanding something because I just can't
make it work.
Here is what I am doing.
PYTHON
b=numpy.array(numpy.zeros(shape=(10,),dtype=nump
Hi,
this probably does not help with your problem. However, I would recommend
changing your fortran code to:
subroutine print_bit_array(bits)
use iso_fortran_env
integer(kind=int8),intent(in),dimension(:)::bits
print*,'bits = ',bits
end subroutine print_bit_array
In that way you could p
On Apr 16, 2012, at 11:59 PM, Matthew Brett wrote:
> Hi,
>
> On Mon, Apr 16, 2012 at 8:40 PM, Travis Oliphant wrote:
I think the answer to this is yes, but it could be as a feature-filled
sub-class (like the current numpy.ma, except in C).
>>>
>>> I'd love to hear that argumen
On Mon, Apr 16, 2012 at 10:38 PM, Travis Oliphant wrote:
>
> On Apr 16, 2012, at 11:01 PM, Charles R Harris wrote:
>
>
>
> On Mon, Apr 16, 2012 at 8:46 PM, Travis Oliphant wrote:
>
>>
>> On Apr 16, 2012, at 8:03 PM, Matthew Brett wrote:
>>
>> > Hi,
>> >
>> > On Mon, Apr 16, 2012 at 3:06 PM, Travis
Hi,
I am using f2py to pass a numpy array of type numpy.int8 to fortran. It
seems like I am misunderstanding something because I just can't make it
work.
Here is what I am doing.
PYTHON
b=numpy.array(numpy.zeros(shape=(10,),dtype=numpy.int8),order='F')
b[0]=1
b[2]=1
b[3]=1
b
array([1, 0, 1, 1,
Hi,
On Mon, Apr 16, 2012 at 8:40 PM, Travis Oliphant wrote:
>>>
>>> I think the answer to this is yes, but it could be as a feature-filled
>>> sub-class (like the current numpy.ma, except in C).
>>
>> I'd love to hear that argument fleshed out in more detail - do you have time?
>
>
> My proposal
On Apr 16, 2012, at 11:01 PM, Charles R Harris wrote:
>
>
> On Mon, Apr 16, 2012 at 8:46 PM, Travis Oliphant wrote:
>
> On Apr 16, 2012, at 8:03 PM, Matthew Brett wrote:
>
> > Hi,
> >
> > On Mon, Apr 16, 2012 at 3:06 PM, Travis Oliphant
> > wrote:
> >
> >> I have heard from a few people th
On Mon, Apr 16, 2012 at 8:46 PM, Travis Oliphant wrote:
>
> On Apr 16, 2012, at 8:03 PM, Matthew Brett wrote:
>
> > Hi,
> >
> > On Mon, Apr 16, 2012 at 3:06 PM, Travis Oliphant
> wrote:
> >
> >> I have heard from a few people that they are not excited by the growth
> of
> >> the NumPy data-struct
>>
>> I think the answer to this is yes, but it could be as a feature-filled
>> sub-class (like the current numpy.ma, except in C).
>
> I'd love to hear that argument fleshed out in more detail - do you have time?
My proposal here is to basically take the current github NumPy data-structure
a
On Mon, Apr 16, 2012 at 8:08 PM, Tony Yu wrote:
>
>
> On Mon, Apr 16, 2012 at 6:01 PM, Skipper Seabold
> wrote:
>>
>> On Mon, Apr 16, 2012 at 5:51 PM, Tony Yu wrote:
>> >
>> >
>> > On Mon, Apr 16, 2012 at 5:27 PM, Skipper Seabold
>> > wrote:
>> >>
>> >> Hi,
>> >>
>> >> I have a pull request her
Ralf,
I wouldn't change your plans just yet for NumPy 1.7. With Mark available full
time for the next few weeks, I think we will be able to make rapid progress on
whatever is decided -- in fact if people are available to help but just need
resources let me know off list.
I just want to ma
Hi,
On Mon, Apr 16, 2012 at 7:46 PM, Travis Oliphant wrote:
>
> On Apr 16, 2012, at 8:03 PM, Matthew Brett wrote:
>
>> Hi,
>>
>> On Mon, Apr 16, 2012 at 3:06 PM, Travis Oliphant wrote:
>>
>>> I have heard from a few people that they are not excited by the growth of
>>> the NumPy data-structure b
On Apr 16, 2012, at 8:03 PM, Matthew Brett wrote:
> Hi,
>
> On Mon, Apr 16, 2012 at 3:06 PM, Travis Oliphant wrote:
>
>> I have heard from a few people that they are not excited by the growth of
>> the NumPy data-structure by the 3 pointers needed to hold the masked-array
>> storage. This is
Hi,
On Mon, Apr 16, 2012 at 6:03 PM, Matthew Brett wrote:
> Hi,
>
> On Mon, Apr 16, 2012 at 3:06 PM, Travis Oliphant wrote:
>
>> I have heard from a few people that they are not excited by the growth of
>> the NumPy data-structure by the 3 pointers needed to hold the masked-array
>> storage. T
On Mon, Apr 16, 2012 at 5:16 PM, Chris Ball wrote:
> Charles R Harris gmail.com> writes:
>
> >
> >
> > On Thu, Apr 12, 2012 at 8:13 PM, Charles R Harris
> gmail.com> wrote:
> >
> > On Thu, Apr 12, 2012 at 7:41 PM, Charles R Harris
> gmail.com> wrote:
> >
> > On Thu, Apr 12, 2012 at 2:05 AM, Ch
Hi,
On Mon, Apr 16, 2012 at 3:06 PM, Travis Oliphant wrote:
> I have heard from a few people that they are not excited by the growth of
> the NumPy data-structure by the 3 pointers needed to hold the masked-array
> storage. This is especially true when there is talk to potentially add
> additi
On Mon, Apr 16, 2012 at 5:17 PM, Travis Oliphant wrote:
> The comments I have heard have been from people who haven't wanted to make
> them on this list. I wish they would, but I understand that not everyone
> wants to be drawn into a long discussion.They have not been discussions.
>
> My bi
On Mon, Apr 16, 2012 at 6:01 PM, Skipper Seabold wrote:
> On Mon, Apr 16, 2012 at 5:51 PM, Tony Yu wrote:
> >
> >
> > On Mon, Apr 16, 2012 at 5:27 PM, Skipper Seabold
> > wrote:
> >>
> >> Hi,
> >>
> >> I have a pull request here [1] to add a cut function similar to R's
> >> [2]. It seems there a
The comments I have heard have been from people who haven't wanted to make them
on this list. I wish they would, but I understand that not everyone wants to
be drawn into a long discussion.They have not been discussions.
My bias is to just move forward with what is there. After a week or
Charles R Harris gmail.com> writes:
>
>
> On Thu, Apr 12, 2012 at 8:13 PM, Charles R Harris
gmail.com> wrote:
>
> On Thu, Apr 12, 2012 at 7:41 PM, Charles R Harris
gmail.com> wrote:
>
> On Thu, Apr 12, 2012 at 2:05 AM, Chris Ball gmail.com> wrote:
>
>
>
> Hi,
> I'm trying out various
Hi,
When I build NumPy and then run the tests on Ubuntu (10.04 LTS) and Debian
(6.1), I always seem to get several failures. I guess most of these failures
come from not having some dependencies installed, but I can't figure out which
ones by reading e.g. http://docs.scipy.org/doc/numpy/user/in
On Tue, Apr 17, 2012 at 12:27 AM, Fernando Perez wrote:
> On Mon, Apr 16, 2012 at 3:21 PM, Ralf Gommers
> wrote:
> > That's the first time I've heard this. Until now, we have talked a lot
> about
> > adding bitmasks and API changes, not about complete removal. My
> assumption
> > was that the exp
On Mon, Apr 16, 2012 at 4:33 PM, Travis Oliphant wrote:
> No off list discussions have been happening material to this point. I am
> basically stating my view for the first time. I have delayed because I
> realize it is not a pleasant view and I was hoping I could end up resolving
> it favorabl
No off list discussions have been happening material to this point. I am
basically stating my view for the first time. I have delayed because I realize
it is not a pleasant view and I was hoping I could end up resolving it
favorably.
But, it needs to be discussed before 1.7 is released.
On Mon, Apr 16, 2012 at 3:21 PM, Ralf Gommers
wrote:
> That's the first time I've heard this. Until now, we have talked a lot about
> adding bitmasks and API changes, not about complete removal. My assumption
> was that the experimental label was enough. From Nathaniel's reaction I
> gathered the
On Tue, Apr 17, 2012 at 12:06 AM, Travis Oliphant wrote:
> There is an issue with the NumPy 1.7 release that we all need to
> understand. Doesn't including the missing-data attributes in the NumPy
> structure in a released version of NumPy basically commit to including
> those attributes in NumP
On Mon, Apr 16, 2012 at 11:06 PM, Christopher Mutel wrote:
> So, for both 1.5 and 1.6 (at least), it appears that the builtin sum
> does not add ndarrays the way "+" (and operator.add) do:
>
> a = np.arange(10).reshape((2,5))
> b = np.arange(10, 20).reshape((2,5))
> sum(a,b)
> Out[5]:
> array([[15
There is an issue with the NumPy 1.7 release that we all need to understand.
Doesn't including the missing-data attributes in the NumPy structure in a
released version of NumPy basically commit to including those attributes in
NumPy 1.8? I'm not comfortable with that, is everyone else?
So, for both 1.5 and 1.6 (at least), it appears that the builtin sum
does not add ndarrays the way "+" (and operator.add) do:
a = np.arange(10).reshape((2,5))
b = np.arange(10, 20).reshape((2,5))
sum(a,b)
Out[5]:
array([[15, 18, 21, 24, 27],
[20, 23, 26, 29, 32]])
a + b
Out[6]:
array([[10,
On Mon, Apr 16, 2012 at 5:51 PM, Tony Yu wrote:
>
>
> On Mon, Apr 16, 2012 at 5:27 PM, Skipper Seabold
> wrote:
>>
>> Hi,
>>
>> I have a pull request here [1] to add a cut function similar to R's
>> [2]. It seems there are often requests for similar functionality. It's
>> something I'm making use
On Mon, Apr 16, 2012 at 11:29 PM, Nathaniel Smith wrote:
> On Mon, Apr 16, 2012 at 10:09 PM, Ralf Gommers
> wrote:
> >
> >
> > On Sat, Mar 24, 2012 at 10:13 PM, Charles R Harris
> > wrote:
> >>
> >> Hi All,
> >>
> >> There several problems with numpy master that need to be fixed before a
> >> r
On Mon, Apr 16, 2012 at 5:27 PM, Skipper Seabold wrote:
> Hi,
>
> I have a pull request here [1] to add a cut function similar to R's
> [2]. It seems there are often requests for similar functionality. It's
> something I'm making use of for my own work and would like to use in
> statstmodels and i
On Mon, Apr 16, 2012 at 10:09 PM, Ralf Gommers
wrote:
>
>
> On Sat, Mar 24, 2012 at 10:13 PM, Charles R Harris
> wrote:
>>
>> Hi All,
>>
>> There several problems with numpy master that need to be fixed before a
>> release can be considered.
>>
>> Datetime on windows with mingw.
>
> Opened http:/
Hi,
I have a pull request here [1] to add a cut function similar to R's
[2]. It seems there are often requests for similar functionality. It's
something I'm making use of for my own work and would like to use in
statstmodels and in generating instances of pandas' Factor class, but
is this generall
On Mon, Apr 16, 2012 at 3:09 PM, Ralf Gommers
wrote:
>
>
> On Sat, Mar 24, 2012 at 10:13 PM, Charles R Harris <
> charlesr.har...@gmail.com> wrote:
>
>> Hi All,
>>
>> There several problems with numpy master that need to be fixed before a
>> release can be considered.
>>
>>1. Datetime on windo
On Sat, Mar 24, 2012 at 10:13 PM, Charles R Harris <
charlesr.har...@gmail.com> wrote:
> Hi All,
>
> There several problems with numpy master that need to be fixed before a
> release can be considered.
>
>1. Datetime on windows with mingw.
>
> Opened http://projects.scipy.org/numpy/ticket/2108
Hi,
is there an elegant method for assigning the same value to several
indices in a ndarray? (in this case with dtype=object)
example:
a = empty(4,'O') # object ndarray
x = [1,2,'f'] # the value to be set for some indicies - the value is not
scalar
a[array((True,False,True))] = x # works like put
Hi all,
I've been having an issue with f2py simply ignoring the fortranname
option if the Fortran subroutine is inside an F90 module. That option is
useful for renaming Fortran subroutines.
I don't know if this behaviour is to be expected, or if I am doing
something wrong. I would definitely a
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