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
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
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 for the
On Mon, Apr 16, 2012 at 3:09 PM, Ralf Gommers
ralf.gomm...@googlemail.comwrote:
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
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
On Mon, Apr 16, 2012 at 10:09 PM, Ralf Gommers
ralf.gomm...@googlemail.com 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.
Datetime on
On Mon, Apr 16, 2012 at 5:27 PM, Skipper Seabold jsseab...@gmail.comwrote:
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
On Mon, Apr 16, 2012 at 11:29 PM, Nathaniel Smith n...@pobox.com wrote:
On Mon, Apr 16, 2012 at 10:09 PM, Ralf Gommers
ralf.gomm...@googlemail.com 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
On Mon, Apr 16, 2012 at 5:51 PM, Tony Yu tsy...@gmail.com wrote:
On Mon, Apr 16, 2012 at 5:27 PM, Skipper Seabold jsseab...@gmail.com
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
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,
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?
On Mon, Apr 16, 2012 at 11:06 PM, Christopher Mutel cmu...@gmail.com 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]:
On Tue, Apr 17, 2012 at 12:06 AM, Travis Oliphant tra...@continuum.iowrote:
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
On Mon, Apr 16, 2012 at 3:21 PM, Ralf Gommers
ralf.gomm...@googlemail.com 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
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 4:33 PM, Travis Oliphant tra...@continuum.iowrote:
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
On Tue, Apr 17, 2012 at 12:27 AM, Fernando Perez fperez@gmail.comwrote:
On Mon, Apr 16, 2012 at 3:21 PM, Ralf Gommers
ralf.gomm...@googlemail.com 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
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.
Charles R Harris charlesr.harris at gmail.com writes:
On Thu, Apr 12, 2012 at 8:13 PM, Charles R Harris charlesr.harris at
gmail.com wrote:
On Thu, Apr 12, 2012 at 7:41 PM, Charles R Harris charlesr.harris at
gmail.com wrote:
On Thu, Apr 12, 2012 at 2:05 AM, Chris Ball ceball at
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
On Mon, Apr 16, 2012 at 6:01 PM, Skipper Seabold jsseab...@gmail.comwrote:
On Mon, Apr 16, 2012 at 5:51 PM, Tony Yu tsy...@gmail.com wrote:
On Mon, Apr 16, 2012 at 5:27 PM, Skipper Seabold jsseab...@gmail.com
wrote:
Hi,
I have a pull request here [1] to add a cut function similar
On Mon, Apr 16, 2012 at 5:17 PM, Travis Oliphant tra...@continuum.iowrote:
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
Hi,
On Mon, Apr 16, 2012 at 3:06 PM, Travis Oliphant tra...@continuum.io 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
On Mon, Apr 16, 2012 at 5:16 PM, Chris Ball ceb...@gmail.com wrote:
Charles R Harris charlesr.harris at gmail.com writes:
On Thu, Apr 12, 2012 at 8:13 PM, Charles R Harris charlesr.harris at
gmail.com wrote:
On Thu, Apr 12, 2012 at 7:41 PM, Charles R Harris charlesr.harris at
Hi,
On Mon, Apr 16, 2012 at 6:03 PM, Matthew Brett matthew.br...@gmail.com wrote:
Hi,
On Mon, Apr 16, 2012 at 3:06 PM, Travis Oliphant tra...@continuum.io 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
Hi,
On Mon, Apr 16, 2012 at 7:46 PM, Travis Oliphant tra...@continuum.io wrote:
On Apr 16, 2012, at 8:03 PM, Matthew Brett wrote:
Hi,
On Mon, Apr 16, 2012 at 3:06 PM, Travis Oliphant tra...@continuum.io wrote:
I have heard from a few people that they are not excited by the growth of
the
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
On Mon, Apr 16, 2012 at 8:08 PM, Tony Yu tsy...@gmail.com wrote:
On Mon, Apr 16, 2012 at 6:01 PM, Skipper Seabold jsseab...@gmail.com
wrote:
On Mon, Apr 16, 2012 at 5:51 PM, Tony Yu tsy...@gmail.com wrote:
On Mon, Apr 16, 2012 at 5:27 PM, Skipper Seabold jsseab...@gmail.com
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 here is to basically take the current github NumPy data-structure
and make
On Mon, Apr 16, 2012 at 8:46 PM, Travis Oliphant tra...@continuum.iowrote:
On Apr 16, 2012, at 8:03 PM, Matthew Brett wrote:
Hi,
On Mon, Apr 16, 2012 at 3:06 PM, Travis Oliphant tra...@continuum.io
wrote:
I have heard from a few people that they are not excited by the growth
of
On Apr 16, 2012, at 11:01 PM, Charles R Harris wrote:
On Mon, Apr 16, 2012 at 8:46 PM, Travis Oliphant tra...@continuum.io wrote:
On Apr 16, 2012, at 8:03 PM, Matthew Brett wrote:
Hi,
On Mon, Apr 16, 2012 at 3:06 PM, Travis Oliphant tra...@continuum.io
wrote:
I have heard
Hi,
On Mon, Apr 16, 2012 at 8:40 PM, Travis Oliphant tra...@continuum.io 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
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,
On Mon, Apr 16, 2012 at 10:38 PM, Travis Oliphant tra...@continuum.iowrote:
On Apr 16, 2012, at 11:01 PM, Charles R Harris wrote:
On Mon, Apr 16, 2012 at 8:46 PM, Travis Oliphant tra...@continuum.iowrote:
On Apr 16, 2012, at 8:03 PM, Matthew Brett wrote:
Hi,
On Mon, Apr 16, 2012
On Apr 16, 2012, at 11:59 PM, Matthew Brett wrote:
Hi,
On Mon, Apr 16, 2012 at 8:40 PM, Travis Oliphant tra...@continuum.io 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
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
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
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