Fri, 23 Nov 2007 17:56:59 +0100, Ivan Vilata i Balaguer wrote:
[clip]
> Dropping by the very interesting discussion, if 2x2 tensors is the basic
> element you want to store (varying with a series of paramenters), and
> since it doesn't make much sense for the chunkshape to split a tensor in
> the middle, you could have replaced::
>
> f.createCArray(f.root, 'huge_array', tables.Float64Atom(),
> (2,2,N,N,50,50))
>
> by::
>
> f.createCArray(..., tables.Float64Atom(shape=(2,2)), (N,N,50,50))
Yep, HDF5/Pytables is quite flexible in the way it allows to store data.
What is best probably depends quite a lot what is wanted.
> This would have had the side-effect of placing the largest dimensions
> first and using a C order. It would be a pity, since the disussion may
> not have been spurred! ;)
I think we would have had a different discussion ;)
>>> import tables
>>> N = 600
>>> f = tables.openFile('foo.h5', 'w')
>>> f.createCArray(f.root, 'huge_array', tables.Float64Atom(shape=(2,2)),
(N,N,50,50))
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/stow/python-easy-install/lib/python2.5/site-packages/
tables-2.0.1-py2.5-linux-i686.egg/tables/file.py", line 793, in
createCArray
chunkshape=chunkshape, byteorder=byteorder)
File "/usr/local/stow/python-easy-install/lib/python2.5/site-packages/
tables-2.0.1-py2.5-linux-i686.egg/tables/carray.py", line 194, in __init__
sorry, but multidimensional atoms are not supported in this context
yet."""
NotImplementedError: sorry, but multidimensional atoms are not supported
in this context yet.
>>> tables.__version__
'2.0.1'
--
Pauli Virtanen
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