How to use LZF or LZO filters to compress HDF5 file in Python?

Question

My hdf5 file contains three arrays: ArrayA(30,100,100),ArrayB(100,100),ArrayC(100,100),how can I use LZF or LZO filters to compress them?

Answer 1

I would recommend to use the blosc filter. It usually performs better than LZF or LZO.
This should work:

filters = tables.Filters(complevel=4, complib='blosc')
atom = tables.Float32Atom()
array = h5_f.createCArray(group, 'ArrayA', atom, shape, filters=filters)
array[:] = data