Getting Started
User Interface
Scheduling
Diagnostics
Help & reference
Store array in HDF5 file
>>> x.to_hdf5('myfile.hdf5', '/x')
Optionally provide arguments as though to h5py.File.create_dataset
h5py.File.create_dataset
>>> x.to_hdf5('myfile.hdf5', '/x', compression='lzf', shuffle=True)
See also
da.store