code: def table(cluster):
      
      teffs = teff(cluster)
      lums = luminosity(cluster)
      arr = cluster.to_array()
      i = 0
      for row in arr:
          row['lum'][0] = np.array([lums[i]], dtype='f')
          row['temp'][0] = np.array([teffs[i]], dtype='f')
          i += 1
      arr = round_arr_teff_luminosity(arr)
      return arr
docs: Create a numpy.ndarray with all observed fields and
      computed teff and luminosity values.