code: def save_buan_profiles_hdf5(fname, dt):
      """Saves the given input dataframe to .h5 file
  
      Parameters
      ----------
      fname : string
          file name for saving the hdf5 file
      dt : Pandas DataFrame
          DataFrame to be saved as .h5 file
  
      """
  
      df = pd.DataFrame(dt)
      filename_hdf5 = fname + ".h5"
  
      store = pd.HDFStore(filename_hdf5, complevel=9)
      store.append(fname, df, data_columns=True, complevel=9)
      store.close()
  
imports: import logging
  import numbers
  import os
  from dipy.utils.optpkg import optional_package
  import dipy
  import nibabel
  from nibabel.streamlines import detect_format
  from nibabel import Nifti1Image
  import numpy
  from trx import trx_file_memmap
label_desc: Use image node_id 11 for calling a global function with example usage: save_buan_profiles_hdf5(fname, dt) without return types