Hello all,
I have two CArrays, ca1 and ca2. ca1 is meant to hold all the information in
ca2, plus a bit more. I want to do
ca1[slice] = ca2[:]
but slice is far too big to read ca2[:] into memory, then write it into
ca1[slice]. Is there an easy way to do this in PyTables or do I need to copy
the d
Hi all,
Is there any way to figure out the total size of a VLArray node on disk?
Thanks,
ANand
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Hi all,
I seem to have lost a long-running simulation... it was writing out to an
hdf5 archive, and when I try to open the archive after the simulation is
over I get the following and several nodes are missing from
Africa.S.db.group0:
In [2]: Africa.S.db._group
HDF5-DIAG: Error detected in HDF5
Hi all,
On 21 Jan 2008, at 22:35, Maarten Sneep wrote:
> Hi,
>
> I have trouble installing pytables 2.0.2 on Mac OS X, version 10.5.1
> on Intel.
>
> Here is the output of python setup.py build_ext --inplace
> File "/System/Library/Frameworks/Python.framework/Versions/2.5/lib/
> python2.5/dist
OK, that shouldn't be a problem. Thanks for the help!
Anand
On May 21, 2008, at 9:56 AM, Ivan Vilata i Balaguer wrote:
> Anand Patil (el 2008-05-20 a les 22:54:10 +0100) va dir::
>
>> On Tue, May 20, 2008 at 9:37 AM, Ivan Vilata i Balaguer <[EMAIL PROTECTED]
>> >
On Tue, May 20, 2008 at 9:37 AM, Ivan Vilata i Balaguer <[EMAIL PROTECTED]>
wrote:
> Then, if you have more than 4096
> nodes, you should be careful not to place them all in the same group to
> avoid performance problems with the object tree.
>
Do you mean 4096 leaf nodes, or 4096 nodes in gener
Hi all,
I'd like to store a long sequence of python objects with pytables. The
only things I know about the objects are:
- Their memory footprint is dominated by a big numpy array, and
- The attribute name of the big array for each object is the same;
it's x1.big_array, x2.big_array, etc.
I
Pytables has been a huge help to pymc also. Pymc produces lots of
samples from certain probability distributions, some of which can be
high-dimensional. David Huard wrote a pytables-based backend that
compresses and saves the samples as they're created. The backend makes
it much possible to
as suggested earlier.
Anand Patil (el 2007-11-02 a les 15:14:34 -0700) va dir::
>
> > Any hints as to how I can track down the source of this error? It's just
> > displayed, no Python exceptions are raised and execution of my program
> > continues.
>
> Could you ple
> Anand Patil (el 2007-10-31 a les 17:53:17 -0700) va dir::
>
> > I have a file full of 32-bit floats, in binary format, compressed with
> zip.
> > I'd like to get it into a PyTables array, but this:
> >
> > Z = ZipFile('data_file.zi
Hi all,
Any hints as to how I can track down the source of this error? It's just
displayed, no Python exceptions are raised and execution of my program
continues.
Thanks,
Anand
HDF5-DIAG: Error detected in HDF5 (1.8.0-beta3) thread 0:
#000: H5Adeprec.c line 161 in H5Acreate(): unable to create
le.createArray('/', 'data', numpy_array)
won't work because I don't have enough memory for the intermediate stages.
Is there an easy way to do this piece-by-piece or in a 'streaming' fashion?
Thanks,
Anand Patil
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