2010/8/13, Brad Buran <bbu...@cns.nyu.edu>:
> We structure our data collection in such a way that information is
> stored in several HDF5 files (one for each set of experiments).
> Within each HDF5 file, we store data from multiple, related
> experiments. Each experiment has its own node in the HDF5 file, with
> each node containing a table of data (along with several arrays,
> attributes, etc.). The table under each experiment node is identical
> in structure. Is there a simple way to construct a query that
> traverses across the table in each node (and each file)?
You mean something similar to:
results = []
for table in h5file.walkNodes("/", "Table"):
results.append([row['col'] for row in table.where('ID=%d' % your_ID)
? (this for all tables in a file; generalizing to multiple files is
left as an exercise to the reader ;-)
Tell us if this is not what you are after.
--
Francesc Alted
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