to_hdf5(filename, *args, **kwargs)
This saves several dask arrays into several datapaths in an HDF5 file. It creates the necessary datasets and handles clean file opening/closing.
>>> da.to_hdf5('myfile.hdf5', '/x', x) # doctest: +SKIP
or
>>> da.to_hdf5('myfile.hdf5', {'/x': x, '/y': y}) # doctest: +SKIP
Optionally provide arguments as though to h5py.File.create_dataset
>>> da.to_hdf5('myfile.hdf5', '/x', x, compression='lzf', shuffle=True) # doctest: +SKIP
This can also be used as a method on a single Array
>>> x.to_hdf5('myfile.hdf5', '/x') # doctest: +SKIP
Store arrays in HDF5 file
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