[A message from an unsubscribed (?) address]
De: Teemu Ikonen <tpiko...@gmail.com>
A: pytables-users@lists.sourceforge.net
Data: Avui 14:30:52
Hello,
I would need to store a set of variable-sized arrays inside another
array (in effect giving each array an index). In Numpy terms my data
is an array of dtype 'object', and the elements are Numpy (int32)
arrays. Since array elements in HDF5 need to have a constant size,
storing this kind of data with Pytables is not straightforward.
For example, if I write a similar array in Matlab to a HDF5 file
(version 7.3 MAT-file) the element arrays are stored under a separate
namespace ('/#refs#') with a random-looking dataset name. The array
itself is filled with references to these objects. I could encode my
data like this also in Python, but then saving and loading the
original Numpy array would require special code to make and resolve
the references.
Is there a standard and maybe even portable way of storing this kind
of arrays in Pytables / HDF5?
Best,
Teemu
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