docs: def load_waveforms_from_file(path_to_waveforms):
      """
       Waveforms must be:
      - in a .csv or .dat file
      - each row is a waveform, values comma separated
      - each waveform is preprocessed
          -- aligned to core bounce
          -- all have same sampling frequencies
          -- all have same number of time samples
      - the name of the waveform is the first column
      - subsequent columns are the waveform time samples
      """
      wave_list = list(csv.reader(open(path_to_waveforms,"rb")))
      # delete empty elements (if any)
      wave_list = [x for x in wave_list if x != []]
      Y_dict = {}
      for i in np.arange(0,len(wave_list)):
          Y_dict[wave_list[i][0]] = map(np.float, wave_list[i][1:])
      return Y_dict