hi Folks
I have an hdf5 file created by another application that I wish to read into
python via pytables. I'm an hdf5 novice and basically want to remain so ...
I'm also a pytables novice, but am happy to learn a bit more since python is
my addiction of choice.
After mucking around with h5dump I can see the file has some groups in it, and
each group has some ATTRIBUTES which are strings.
Each group also has some DATASETS in it, and each dataset has a simple
dataspace (i.e. a standard array) and some attributes (which are the names of
the variables held in the arrays).
I'm finding it hard to get started from the documentation which is based
around creating and reading pytables files in hdf, whereas what I'm trying to
do is introspect the file ...
Anyway, this is my starting script:
import tables
f='blah.hdf'
ff=tables.openFile(f)
for a in ff:
try:
print a
print type(a)
print a.getAttr()
x=a.attrs._f_list('all')
except: pass
So you can see I'm just trying to bootstrap some info about these things. the
output of that script looks like this:
UserWarning: file ``blah.hdf`` exists and it is an HDF5 file, but it does not
have a PyTables format; I will try to do my best to guess what's there using
HDF5 metadata
METADATA_CACHE_SIZE, nodeCacheSize)
/ (RootGroup) ''
<class 'tables.Group.RootGroup'>
/DATA (Group) ''
<class 'tables.Group.Group'>
/GEO (Group) ''
<class 'tables.Group.Group'>
/DATA/X (CArray(72L, 144L), zlib(6)) ''
<class 'tables.CArray.CArray'>
/DATA/Y (CArray(3L, 72L, 144L), zlib(6)) ''
So my questions is rather simple: how do I get at the group and dataset
attributes in pytables? I know this ought to be obvious, so feel free to
point me to the right page in the manual ...
Thanks in advance,
Bryan
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