Hi Andrew,
Do you have any plans to support LZO compression in h5py?
I have lots of LZO-compressed datasets created with PyTables.
There's a real barrier to using both h5py and PyTables if the fast
decompressor options are just LZF on h5py and LZO on PyTables.
Many thanks
Stephen
Andrew Colle
On Mon, Feb 9, 2009 at 2:35 PM, Brian Granger wrote:
>> CMake does handle this automatically.
>> E.g. if include directories are changed (which you do by editing a
>> CMakeLists.txt or the cmake cache), all files which are affected by the are
>> rebuilt. If some library changes, everything linking
Thanks, Ondrej. For the record, h5py is designed to provide a
"NumPy-like" interface to HDF5, along with a near-complete wrapping of
the low-level HDF5 C API. It has none of the database-like features
of PyTables. The FAQ entry has more info.
Andrew Collette
On Mon, Feb 9, 2009 at 1:06 PM, Ond
On Mon, Feb 9, 2009 at 15:35, Simon Palmer wrote:
>
> Hi,
> I am trying to profile a bit of code I have written using cProfile. When I
> run it I get the message:
>
> TypeError: unhashable type: 'numpy.ndarray'
>
> I am using runctx with some local variables which are ndarrays.
>
> I am guessing
On Mon, Feb 9, 2009 at 16:25, M Trumpis wrote:
> I played around with a C translation of that test program, and found
> that dgesvd (but not dgesdd) happens to converge and return all
> non-negative singular values for both operators I was having trouble
> with. I'm also looking at the Octave code
> CMake does handle this automatically.
> E.g. if include directories are changed (which you do by editing a
> CMakeLists.txt or the cmake cache), all files which are affected by the are
> rebuilt. If some library changes, everything linking to this library is
> linked again.
> If any of the files
I played around with a C translation of that test program, and found
that dgesvd (but not dgesdd) happens to converge and return all
non-negative singular values for both operators I was having trouble
with. I'm also looking at the Octave code just now, and I think
they're using dgesvd also. Any on
On Sun, Feb 8, 2009 at 7:56 PM, David Cournapeau
wrote:
> Ondrej Certik wrote:
>>> That's exactly what I don't like about cmake - it means you can't
>>> produce accurate builds (you need to rerun cmake everytime you change
>>> the configuration or dependencies, whereas this is automatic with
>>>
Hi,
I am trying to profile a bit of code I have written using cProfile. When I
run it I get the message:
TypeError: unhashable type: 'numpy.ndarray'
I am using runctx with some local variables which are ndarrays.
I am guessing that this is a lmitation of either cProfile or numpy or the
mix of
On Mon, Feb 9, 2009 at 12:15 PM, Andrew Collette wrote:
> =
> Announcing HDF5 for Python (h5py) 1.1
> =
>
> What is h5py?
> -
>
> HDF5 for Python (h5py) is a general-purpose Python interface to the
> Hierarchical D
=
Announcing HDF5 for Python (h5py) 1.1
=
What is h5py?
-
HDF5 for Python (h5py) is a general-purpose Python interface to the
Hierarchical Data Format library, version 5. HDF5 is a versatile,
mature scientific so
On Mon, Feb 9, 2009 at 12:32 AM, Xiaoyu Chu wrote:
> Hey all,
> I am currently working on a large matrix, and I already have a
> specific eigen value that I want to use in order to find out its
> corresponding eigen vector. Is there an easy way to do so?
>
> I have tried with linalg.solv
On Mon, Feb 9, 2009 at 6:02 AM, Neil wrote:
>
>> > I have two integer arrays of different shape, e.g.
>> >
>> > >>> a
>> >
>> > array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
>> >
>> > >>> b
>> >
>> > array([ 3, 4, 5, 6, 7, 8, 9, 10])
>> >
>> > How can I extract the values that belong to th
A Monday 09 February 2009, Neil escrigué:
> > > I have two integer arrays of different shape, e.g.
> > >
> > > >>> a
> > >
> > > array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
> > >
> > > >>> b
> > >
> > > array([ 3, 4, 5, 6, 7, 8, 9, 10])
> > >
> > > How can I extract the values that belong
> > I have two integer arrays of different shape, e.g.
> >
> > >>> a
> >
> > array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
> >
> > >>> b
> >
> > array([ 3, 4, 5, 6, 7, 8, 9, 10])
> >
> > How can I extract the values that belong to the array a
> > exclusively i.e. array([1,2]) ?
>
You cou
2009/2/9 Hans Meine :
>> Here's a basic implementation. docstring + tests not updated yet, also I
>> wonder whether axis should be the first argument, but that could create
>> compatibility problems.
>
> AFAICS, I never received an answer, but IMHO this should be integrated into
> NumPy. Any obje
On Thursday 20 November 2008 11:54:52 Hans Meine wrote:
> On Thursday 20 November 2008 11:11:14 Hans Meine wrote:
> > I have a 2D matrix comprising a sequence of vectors, and I want to
> > compute the norm of each vector. np.linalg.norm seems to be the best
> > bet, but it does not support axis.
On Mon, 9 Feb 2009 09:45:02 +0100
Francesc Alted wrote:
> A Monday 09 February 2009, Nils Wagner escrigué:
>> Hi all,
>>
>> I have two integer arrays of different shape, e.g.
>>
>> >>> a
>>
>> array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
>>
>> >>> b
>>
>> array([ 3, 4, 5, 6, 7, 8, 9, 10
A Monday 09 February 2009, Nils Wagner escrigué:
> Hi all,
>
> I have two integer arrays of different shape, e.g.
>
> >>> a
>
> array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
>
> >>> b
>
> array([ 3, 4, 5, 6, 7, 8, 9, 10])
>
> How can I extract the values that belong to the array a
> exclusi
Hi all,
I have two integer arrays of different shape, e.g.
>>> a
array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
>>> b
array([ 3, 4, 5, 6, 7, 8, 9, 10])
How can I extract the values that belong to the array a
exclusively i.e. array([1,2]) ?
Nils
__
A Sunday 08 February 2009, Neil escrigué:
> > The first one (and most important IMO), is that newarr continues to
> > be an structured array (BTW, when changed this name from the
> > original record array?), and you can use all the features of these
> > beasts with it. Other reason (albeit a bit s
21 matches
Mail list logo
