On 03.07.2014 05:56, Sturla Molden wrote:
On 02/07/14 19:55, Chris Barker wrote:
Indeed -- the default (i.e what you get with pip install numpy) should
be SSE2 -- I:d much rather have a few folks with old hardware have to
go through some hoops that n have most people get something that is
Hello,
In my application I use nested, someitmes variable length lists, e.g.
[[1,2], [1,2,3], ...]. These
can also become double nested, etc. up to arbitrary complexity.
I like to use numpy indicing on the outer list,
i.e. I want to create: array([[1, 2], [1, 2, 3]], dtype=object)
However,
Hello, I'm a newcomer and I have a question I did not manage to solve yet,
I posted it into these two stack-overflow entries:
http://stackoverflow.com/questions/24529811/compiling-numpy-for-windows-python-2-7-7
On Thu, Jul 3, 2014 at 11:14 AM, Pablo Pérez García
pabl...@computer.org wrote:
Hello, I'm a newcomer and I have a question I did not manage to solve yet, I
posted it into these two stack-overflow entries:
http://stackoverflow.com/questions/24529811/compiling-numpy-for-windows-python-2-7-7
numpy descends into the lists even if you request a object dtype as it
treats object arrays containing nested lists of equal size as
ndimensional:
np.array([[1,2], [3,4]], dtype=object).ndim
2
I don't think we have a constructor that limits the maximum dimension,
only one the minimum dimension.
On Thu, Jul 3, 2014 at 11:30 AM, Julian Taylor
jtaylor.deb...@googlemail.com wrote:
numpy descends into the lists even if you request a object dtype as it
treats object arrays containing nested lists of equal size as
ndimensional:
np.array([[1,2], [3,4]], dtype=object).ndim
2
I don't think
Hi,
On Thu, Jul 3, 2014 at 4:56 AM, Sturla Molden sturla.mol...@gmail.com wrote:
On 02/07/14 19:55, Chris Barker wrote:
Indeed -- the default (i.e what you get with pip install numpy) should
be SSE2 -- I:d much rather have a few folks with old hardware have to
go through some hoops that n
Hi,
to trace this error, you can try to run your programm with the dependency
walker http://www.dependencywalker.com/ . In the menu there is a profiling
option. With 'Start profiling' you get messages of all accesses to DLLs and
Python extensions. Most likely a DLL is not found.
Be aware: for
I guess this one's mainly for Carl:
On Thu, Jul 3, 2014 at 11:06 AM, Matthew Brett matthew.br...@gmail.com wrote:
Hi,
On Thu, Jul 3, 2014 at 4:56 AM, Sturla Molden sturla.mol...@gmail.com wrote:
On 02/07/14 19:55, Chris Barker wrote:
Indeed -- the default (i.e what you get with pip install
Hi,
numpy extensions are linked against python27.dll. I have no idea, if it
works to copy python27.dll side by side to python27_d.dll (I guess not).
But you can try it anyway. The clean way is to get or compile a debug numpy
version linked against python27_d.dll
Regards
Carll
2014-07-03 12:51
Hi Matthew,
I can make it in the late evening (MEZ timezone), so you have to wait a bit
... I also will try to create new numpy/scipy wheels. I now have the latest
OpenBLAS version ready. Olivier gaves me access to rackspace. I wil try it
out on the weekend.
Regards
Carl
2014-07-03 12:46
On 07/03/2014 11:43 AM, Julian Taylor wrote:
On second though I guess adding a short circuit to the dimension
discovery on mismatching list length with object type should solve the
issue too. A bit more information on the use case would still be
useful, why do you need to use numpy arrays for
On Do, 2014-07-03 at 14:36 +0200, Marc Hulsman wrote:
On 07/03/2014 11:43 AM, Julian Taylor wrote:
On second though I guess adding a short circuit to the dimension
discovery on mismatching list length with object type should solve the
issue too. A bit more information on the use case would
Pandas might have more use for this than NumPy. Database interfaces might
also have use for this.
Sturla
Nathaniel Smith n...@pobox.com wrote:
There's some discussion on python-ideas about making it possible for python
indexing to accept kwargs, eg
arr[1:2, foo=bar]
Since numpy is a
Hi,
On Thu, Jul 3, 2014 at 12:51 PM, Carl Kleffner cmkleff...@gmail.com wrote:
Hi Matthew,
I can make it in the late evening (MEZ timezone), so you have to wait a bit
... I also will try to create new numpy/scipy wheels. I now have the latest
OpenBLAS version ready. Olivier gaves me access
HI Folks,
I will be hosting a Teaching the SciPy Stack BoF at SciPy this year:
https://conference.scipy.org/scipy2014/schedule/presentation/1762/
(Actually, I proposed it for the conference, but would be more than happy
to have other folks join me in facilitating, hosting, etc.)
I've put up a
Hi all, is there a spec or grammar for valid values of numpy dtype
descriptor strings?
I am writing code to parse .npy files from Java and want to be able to
handle the range of ndarray descriptor strings. I came across this code:
dtype = numpy.dtype(d['descr'])
at line 267 in format.py:
On Thu, Jul 3, 2014 at 5:36 AM, Marc Hulsman m.huls...@tudelft.nl wrote:
This can however go wrong. Say that we have nested variable length
lists, what sometimes happens is that part of the data has
(by chance) only fixed length nested lists, while another part has
variable length nested
Dear Ted,
* Ted Sandler ted.sand...@gmail.com [2014-07-03]:
Hi all, is there a spec or grammar for valid values of numpy dtype
descriptor strings?
I am writing code to parse .npy files from Java and want to be able to
handle the range of ndarray descriptor strings. I came across this code:
Thanks. No, it's not what I'm looking for.
I'm looking for the code that parses the string i8 in the npy file array
header's descriptor:
{'descr': 'i8', 'fortran_order': False, 'shape': (5,), }
There are many different descriptor strings, e.g.:
'f8'
'=f4'
'float32'
'c16'
...
Ideally, I
On Thu, Jul 3, 2014 at 3:30 AM, Julian Taylor jtaylor.deb...@googlemail.com
wrote:
numpy descends into the lists even if you request a object dtype as it
treats object arrays containing nested lists of equal size as
ndimensional:
np.array([[1,2], [3,4]], dtype=object).ndim
2
I don't
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