Hi,
I need to link the documentation on ctypes and SWIG support for Numpy.
For ctypes I found:
http://www.scipy.org/Cookbook/Ctypes
Which seems to be reasonably up-to-date. There are of course also:
http://docs.scipy.org/doc/numpy/reference/routines.ctypeslib.html
There are also the
https://github.com/numpy/numpy/pull/2960
thanks
V-
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Dear Søren,
if you are new to interfacing python/numpy with C/C++, you may want to
check out:
http://scipy-lectures.github.com/advanced/interfacing_with_c/interfacing_with_c.html
Disclaimer: I am the author of this chapter, so this response is a bit
of a shameless plug :D
Hope it helps none
* Daniele Nicolodi dani...@grinta.net [2013-03-21]:
On 21/03/2013 10:16, Valentin Haenel wrote:
Dear Daniele
* Daniele Nicolodi dani...@grinta.net [2013-03-21]:
On 21/03/2013 09:45, Valentin Haenel wrote:
if you are new to interfacing python/numpy with C/C++, you may want to
check
, but the link in the article
didn't seem to work. (Under Further Reading and References)
There seems to be something wrong with Gaël's website. I have CC him,
maybe he can fix it.
best
V-
cheers
Søren
On 21/03/2013 09:41, Valentin Haenel wrote:
Dear Søren,
if you are new to interfacing
Hi,
I have a quick question: Is there a way to get a list of all available
Numpy integer dtypes programatically?
thanks,
V-
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Hi,
* Matthew Brett matthew.br...@gmail.com [2013-08-10]:
On Fri, Aug 9, 2013 at 3:17 PM, Robert Kern robert.k...@gmail.com wrote:
On Fri, Aug 9, 2013 at 11:06 PM, Valentin Haenel valen...@haenel.co wrote:
I have a quick question: Is there a way to get a list of all available
Numpy integer
* Chris Barker - NOAA Federal chris.bar...@noaa.gov [2013-08-16]:
On Fri, Aug 16, 2013 at 8:20 AM, Alan G Isaac alan.is...@gmail.com wrote:
http://www.python.org/dev/peps/pep-0450/
https://groups.google.com/forum/#!topic/comp.lang.python/IV-3mobU7L0
as numpy is the right way to do this
Hi,
I have a quick question about typenum. Certain functions, like
`PyArray_SimpleNewFromData` `PyArray_SimpleNew` take a typeenum
argument. Is there any way to go from typeenum to something that can be
passed to the dtype constructor, like mapping 12 - 'f8'?
thanks,
V-
Hi Richard,
* Richard Hattersley rhatters...@gmail.com [2013-10-08]:
On 8 October 2013 13:23, Valentin Haenel valen...@haenel.co wrote:
Certain functions, like
`PyArray_SimpleNewFromData` `PyArray_SimpleNew` take a typeenum
Is there any way to go from typeenum to something that can
* Richard Hattersley rhatters...@gmail.com [2013-10-08]:
On 8 October 2013 19:56, Valentin Haenel valen...@haenel.co wrote:
I ended up using: PyArray_TypeObjectFromType
from cython so:
np.dtype(cnp.PyArray_TypeObjectFromType(self.ndtype)).str
Maybe i can avoid the np.dtype call
Hi Dinesh Vadhia,
* Dinesh Vadhia dineshbvad...@hotmail.com [2014-01-26]:
For me, binary data wrt arrays means that data values are [0|1]. Is this
what is meant in The compression process is carried out internally by
Blosc, a high-performance compressor that is optimized for binary data. ?
Hi Gilberto,
* onefire onefire.mys...@gmail.com [2014-04-16]:
I have been playing with the idea of using Numpy's binary format as a
lightweight alternative to HDF5 (which I believe is the right way to do
if one does not have a problem with the dependency).
I am pretty happy with the npy
Hi again,
* David Palao dpalao.pyt...@gmail.com [2014-04-17]:
2014-04-16 20:26 GMT+02:00 onefire onefire.mys...@gmail.com:
Hi all,
I have been playing with the idea of using Numpy's binary format as a
lightweight alternative to HDF5 (which I believe is the right way to do if
one does
Hi,
* Julian Taylor jtaylor.deb...@googlemail.com [2014-04-17]:
On 17.04.2014 21:30, onefire wrote:
Hi Nathaniel,
Thanks for the suggestion. I did profile the program before, just not
using Python.
one problem of npz is that the zipfile module does not support streaming
data in (or
* Valentin Haenel valen...@haenel.co [2014-04-17]:
* Valentin Haenel valen...@haenel.co [2014-04-17]:
Hi,
* Julian Taylor jtaylor.deb...@googlemail.com [2014-04-17]:
On 17.04.2014 21:30, onefire wrote:
Hi Nathaniel,
Thanks for the suggestion. I did profile the program
Hi,
* Valentin Haenel valen...@haenel.co [2014-04-17]:
* Valentin Haenel valen...@haenel.co [2014-04-17]:
* Valentin Haenel valen...@haenel.co [2014-04-17]:
Hi,
* Julian Taylor jtaylor.deb...@googlemail.com [2014-04-17]:
On 17.04.2014 21:30, onefire wrote:
Hi Nathaniel
Hello,
* Valentin Haenel valen...@haenel.co [2014-04-17]:
As part of bloscpack.sysutil I have wrapped this to be available from
Python (needs root though). So, to re-rurn the benchmarks, doing each
one twice:
Actually, I just realized, that doing a ``sync`` doesn't require root.
my bad,
V
Hi Gilberto,
* onefire onefire.mys...@gmail.com [2014-04-18]:
Interesting! Using sync() as you suggested makes every write slower, and
it decreases the time difference between save and savez,
so maybe I was observing the 10 times difference because the file system
buffers were being flushed
Hi again,
* onefire onefire.mys...@gmail.com [2014-04-18]:
I think your workaround might help, but a better solution would be to not
use Python's zipfile module at all. This would make it possible to, say,
let the user choose the checksum algorithm or to turn that off.
Or maybe the
Hi,
* Valentin Haenel valen...@haenel.co [2014-04-17]:
* Valentin Haenel valen...@haenel.co [2014-04-17]:
* Julian Taylor jtaylor.deb...@googlemail.com [2014-04-17]:
On 17.04.2014 21:30, onefire wrote:
Thanks for the suggestion. I did profile the program before, just not
using
Hi Nicolas,
* Nicolas Rougier nicolas.roug...@inria.fr [2014-05-27]:
I've updated the numpy exercices collection and made it available on
github at:
https://github.com/rougier/numpy-100
These exercices mainly comes from this mailing list and also from
stack overflow. If you have other
! In that case I must make sure not break it (too often).
V-
Nicolas
On 28 May 2014, at 23:46, Valentin Haenel valen...@haenel.co wrote:
Hi Nicolas,
* Nicolas Rougier nicolas.roug...@inria.fr [2014-05-27]:
I've updated the numpy exercices collection and made it available on
github
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:
Dear Ted,
* Ted Sandler ted.sand...@gmail.com [2014-07-03]:
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
sorry, for the top-post, but should we add this as an issue on the
github tracker? I'd like to revisit it this summer.
V-
* Julian Taylor jtaylor.deb...@googlemail.com [2014-04-18]:
On 18.04.2014 18:29, Valentin Haenel wrote:
Hi,
* Valentin Haenel valen...@haenel.co [2014-04-17
Hi,
* Francesc Alted fal...@gmail.com [2014-07-07]:
[snip]
There is also a handy command line and Python library for Blosc called
Bloscpack (https://github.com/Blosc/bloscpack) that allows you to
compress large binary datafiles on-disk.
For this list, you might be interested to know, that
==
Announcing bcolz 0.7.2
==
What's new
==
This is a maintenance release that fixes various bits and pieces.
Importantly, compatibility with Numpy 1.9 and Cython 0.21 has been fixed
and the test suit no longer segfaults on 32 bit UNIX.
Hi,
I am using numpy version 1.9.0 and Python 2.7.9 and have a question
about the dtype:
In [14]: np.dtype(f8)
Out[14]: dtype('float64')
In [15]: np.dtype(uf8)
Out[15]: dtype('float64')
In [16]: np.dtype([(f8, f8)])
Out[16]: dtype([('f8', 'f8')])
So far so good. Now what happens if I use
Dear Nathaniel,
thanks very much for your response.
* Nathaniel Smith n...@pobox.com [2014-12-11]:
On Wed, Dec 10, 2014 at 8:26 PM, Valentin Haenel valen...@haenel.co wrote:
I am using numpy version 1.9.0 and Python 2.7.9 and have a question
about the dtype:
In [14]: np.dtype(f8)
Out
Hi,
* Sebastian se...@sebix.at [2014-12-13]:
I'll just comment on the creation of your dtype:
dt = [(f8, f8)]
You are creating a dtype with one field called 'f8' and with type 'f8':
dt = [(f8, f8)]
dty = np.dtype(dt)
dty.names
('f8',)
What you may want are two fields with
* Eelco Hoogendoorn hoogendoorn.ee...@gmail.com [2014-12-13]:
This is a general problem in trying to use JSON to send arbitrary python
objects. Its not made for that purpose, JSON itself only supports a very
limited grammar (only one sequence type for instance, as you noticed), so
in general
* Nathaniel Smith n...@pobox.com [2014-12-13]:
[snip]
Ah, so your question is about how to serialize dtypes.
The simplest approach would be to use pickle and shove the resulting string
into your json. However, this is very dangerous if you need to process
untrusted files, because if I can
* Valentin Haenel valen...@haenel.co [2014-12-27]:
* Nathaniel Smith n...@pobox.com [2014-12-13]:
[snip]
Ah, so your question is about how to serialize dtypes.
The simplest approach would be to use pickle and shove the resulting string
into your json. However, this is very dangerous
Hi,
how do I access the kind of the data from cython, i.e. the single
character string:
'b' boolean
'i' (signed) integer
'u' unsigned integer
'f' floating-point
'c' complex-floating point
'O' (Python) objects
'S', 'a' (byte-)string
'U' Unicode
'V' raw data (void)
In regular Python I can do:
In
* Eric Moore e...@redtetrahedron.org [2014-12-30]:
On Monday, December 29, 2014, Valentin Haenel valen...@haenel.co wrote:
Hi,
how do I access the kind of the data from cython, i.e. the single
character string:
'b' boolean
'i' (signed) integer
'u' unsigned integer
'f' floating
Hi,
* Nathaniel Smith n...@pobox.com [2014-12-31]:
On Tue, Dec 30, 2014 at 11:03 PM, Valentin Haenel valen...@haenel.co wrote:
* Eric Moore e...@redtetrahedron.org [2014-12-30]:
On Monday, December 29, 2014, Valentin Haenel valen...@haenel.co wrote:
Hi,
how do I access the kind
==
Announcing bcolz 0.8.0
==
What's new
==
This version adds a public API in the form of a Cython definitions file
(``carray_ext.pxd``) for the ``carray`` class!
This means, other libraries can use the Cython definitions to build more
complex
==
Announcing bcolz 0.7.3
==
What's new
==
This release includes the support for pickling persistent carray/ctable
objects contributed by Matthew Rocklin. Also, the included version of
Blosc is updated to ``v1.5.2``. Lastly, several minor issues
==
Announcing bcolz 0.9.0
==
What's new
==
This is mostly a smallish feature and bugfix release. One large topic
was implementing 'addcol' and 'delcol' to properly handle on-disk
tables. 'addcol' now has a new keyword argument 'move' that allows
=
Announcing python-blosc 1.2.5
=
What is new?
This release contains support for Blosc v1.5.4 including changes to how
the GIL is kept. This was required because Blosc was refactored in the
v1.5.x line to remove global
Hi,
the webinterface at:
http://mail.scipy.org/mailman/listinfo/numpy-discussion
seems down for me. For anyone else too?
V-
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It's working again, thanks.
* Matthew Brett matthew.br...@gmail.com [2015-07-06]:
Hi,
On Mon, Jul 6, 2015 at 7:35 PM, Valentin Haenel valen...@haenel.co wrote:
Hi,
the webinterface at:
http://mail.scipy.org/mailman/listinfo/numpy-discussion
seems down for me. For anyone else too
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