It's working again, thanks.
* Matthew Brett [2015-07-06]:
> Hi,
>
> On Mon, Jul 6, 2015 at 7:35 PM, Valentin Haenel wrote:
> > Hi,
> >
> > the webinterface at:
> >
> > http://mail.scipy.org/mailman/listinfo/numpy-discussion
> >
> > seems
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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==
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 you
=
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 variables
==
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 progr
==
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 an
Hi,
* Nathaniel Smith [2014-12-31]:
> On Tue, Dec 30, 2014 at 11:03 PM, Valentin Haenel wrote:
> > * Eric Moore [2014-12-30]:
> >> On Monday, December 29, 2014, Valentin Haenel wrote:
> >>
> >> > Hi,
> >> >
> >> > ho
* Eric Moore [2014-12-30]:
> On Monday, December 29, 2014, Valentin Haenel wrote:
>
> > Hi,
> >
> > how do I access the kind of the data from cython, i.e. the single
> > character string:
> >
> > 'b' boolean
> > 'i' (si
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
* Valentin Haenel [2014-12-27]:
> * Nathaniel Smith [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 da
* Nathaniel Smith [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 convince you
* Eelco Hoogendoorn [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 you will need to specify
Hi,
* Sebastian [2014-12-13]:
> I'll just comment on the creation of your dtype:
>
> > dt = [("
> You are creating a dtype with one field called '
> >>> dt = [(" >>> dty = np.dtype(dt)
> >>> dty.names
>
> ('
> What you may want are two fields with type '
> >>> dt = [(" >>> dty = np.dtype(('
Dear Nathaniel,
thanks very much for your response.
* Nathaniel Smith [2014-12-11]:
> On Wed, Dec 10, 2014 at 8:26 PM, Valentin Haenel 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(
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(" in ()
> 1 np.dtype([(u" in ()
> 1 np.dtype([["http://mail.scipy.org/mailman/listinfo/numpy-discussion
==
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. Feature-wise
Hi,
* Francesc Alted [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 Bloscpack also
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 [2014-04-18]:
> On 18.04.2014 18:29, Valentin Haenel wrote:
> > Hi,
> >
> > * Valentin Haenel [2014-04-17]:
> >
Dear Ted,
* Ted Sandler [2014-07-03]:
> Thanks. No, it's not what I'm looking for.
>
> I'm looking for the code that parses the string " header's descriptor:
>
> {'descr': '
> There are many different descriptor strings, e.g.:
>
> '>f8'
> '=f4'
> 'float32'
> '>c16'
> ...
>
> Ideally,
Dear Ted,
* Ted Sandler [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:
>
>dtype =
st make sure not break it (too often).
V-
> Nicolas
>
>
> On 28 May 2014, at 23:46, Valentin Haenel wrote:
>
> > Hi Nicolas,
> >
> > * Nicolas Rougier [2014-05-27]:
> >> I've updated the numpy exercices collection and made it available on
>
Hi Nicolas,
* Nicolas Rougier [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 examples in mind,
Hi,
* Valentin Haenel [2014-04-17]:
> * Valentin Haenel [2014-04-17]:
> > * Julian Taylor [2014-04-17]:
> > > On 17.04.2014 21:30, onefire wrote:
> > > > Thanks for the suggestion. I did profile the program before, just not
> > > > using Python.
&
Hi again,
* onefire [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 compression stuff makes this ro
Hi Gilberto,
* onefire [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 immediately after a c
Hello,
* Valentin Haenel [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 roo
Hi,
* Valentin Haenel [2014-04-17]:
> * Valentin Haenel [2014-04-17]:
> > * Valentin Haenel [2014-04-17]:
> > > Hi,
> > >
> > > * Julian Taylor [2014-04-17]:
> > > > On 17.04.2014 21:30, onefire wrote:
> > > > > Hi Nathaniel,
&
* Valentin Haenel [2014-04-17]:
> * Valentin Haenel [2014-04-17]:
> > Hi,
> >
> > * Julian Taylor [2014-04-17]:
> > > On 17.04.2014 21:30, onefire wrote:
> > > > Hi Nathaniel,
> > > >
> > > > Thanks for the suggestio
* Valentin Haenel [2014-04-17]:
> Hi,
>
> * Julian Taylor [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.
> >
Hi,
* Julian Taylor [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 if it does now we
Hi again,
* David Palao [2014-04-17]:
> 2014-04-16 20:26 GMT+02:00 onefire :
> > 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 not have a problem with the dependen
Hi Gilberto,
* onefire [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 format, but the npz
Hi Dinesh Vadhia,
* Dinesh Vadhia [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." ?
I believe, the ter
* Richard Hattersley [2013-10-08]:
> On 8 October 2013 19:56, Valentin Haenel wrote:
>
> > I ended up using: PyArray_TypeObjectFromType
> > from cython so:
> >
> > np.dtype(cnp.PyArray_TypeObjectFromType(self.ndtype)).str
> >
> > Maybe i can avoid t
Hi Richard,
* Richard Hattersley [2013-10-08]:
> On 8 October 2013 13:23, Valentin Haenel wrote:
>
> > Certain functions, like
> > `PyArray_SimpleNewFromData` `PyArray_SimpleNew` take a typeenum
> > Is there any way to go from typeenum to something that can be
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 -> 'http://mail.scipy.org/mailman/listinfo/nu
* Chris Barker - NOAA Federal [2013-08-16]:
> On Fri, Aug 16, 2013 at 8:20 AM, Alan G Isaac 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 sort of stuff, I think this is
> a b
Hi,
* Matthew Brett [2013-08-10]:
> On Fri, Aug 9, 2013 at 3:17 PM, Robert Kern wrote:
> > On Fri, Aug 9, 2013 at 11:06 PM, Valentin Haenel wrote:
> >> I have a quick question: Is there a way to get a list of all available
> >> Numpy integer dtypes programatical
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,
I am currently working with a C extension that wraps a C library.
The library contains a function that takes, amongst others, a 'void *'
as an argument. Now, I would like for that function to be able to read
the 'data' buffer of a numpy array and thus need to pass address from
Python down int
es", 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 Haen
* Daniele Nicolodi [2013-03-21]:
> On 21/03/2013 10:16, Valentin Haenel wrote:
> > Dear Daniele
> >
> > * Daniele Nicolodi [2013-03-21]:
> >> On 21/03/2013 09:45, Valentin Haenel wrote:
> >>> if you are new to interfacing python/numpy w
Dear Daniele
* Daniele Nicolodi [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 out:
> >
> > http://scipy-lectures.github.com/advanced/interfacing_with_c/interfacing_with
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 the
https://github.com/numpy/numpy/pull/2960
thanks
V-
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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 corresp
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