code: def recarray_to_hdf5_group(ra, parent, name, **kwargs):
      
  
      import h5py
  
      h5f = None
  
      if isinstance(parent, str):
          h5f = h5py.File(parent, mode='a')
          parent = h5f
  
      try:
  
          h5g = parent.require_group(name)
          for n in ra.dtype.names:
              array_to_hdf5(ra[n], h5g, n, **kwargs)
  
          return h5g
  
      finally:
          if h5f is not None:
              h5f.close()
docs: Write each column in a recarray to a dataset in an HDF5 group.
  
      Parameters
      ----------
      ra : recarray
          Numpy recarray to store.
      parent : string or h5py group
          Parent HDF5 file or group. If a string, will be treated as HDF5 file
          name.
      name : string
          Name or path of group to write data into.
      kwargs : keyword arguments
          Passed through to h5py require_dataset() function.
  
      Returns
      -------
      h5g : h5py group