Is there a relatively simple, straightforward way to take an existing EArray
and change it's dtype and/or filters? In pseudocode:
f = tables.openFile('test.h5', 'w')
f.createEArray('/', 'test_array', tables.Float64Atom(), (0,))
f.root.test_array.append(arange(32))
f.root.test_array.atom = tables.Float32Atom() # convert all the data to
np.float32
f.root.test_array.filters = tables.Filters(complevel=9) # compress the data
Obviously the above code doesn't work, but I was wondering if there's an
efficient way to do the compression/datatype conversion in-place, or if I
need to create a new array and copy the data over.
Brad
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