dask.array.Array.to_hdf5

Array.to_hdf5(filename, datapath, **kwargs)[source]

Store array in HDF5 file

>>> x.to_hdf5('myfile.hdf5', '/x')  

Optionally provide arguments as though to h5py.File.create_dataset

>>> x.to_hdf5('myfile.hdf5', '/x', compression='lzf', shuffle=True)  

See also

da.store
h5py.File.create_dataset