All
Perhaps I am just missing the obvious, but I have some code that is converting
netCDF4 files to pyTables Carray with blosc compression (playing around).
I loop over the files in a directory, and I have found that the first file is
written compressed, but the second file onward is NOT. I have checked the
filter settings after each file write, and
they are the same. Any ideas here? If I turn off compression, the file sizes
match.....
Code below....
Lou
array_atom = tables.Float32Atom()
filters = tables.Filters(complevel=0, complib='blosc')
for file in files[0:2]:
print "\n Processing file: %s \n" % file
f = netCDF4.Dataset(file)
fid = tables.openFile(file[:-2]+"h5","w")
t0 = time()
# Copy all arrays
for array_name in f.variables:
data = f.variables[array_name][:]
print array_name, data.shape
field = fid.createCArray(fid.root, array_name, array_atom, data.shape,
filters=filters)
field[:] = data[:]
f.close()
fid.close()
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