code: def align(time, time2, magnitude, magnitude2, error, error2):
      
  
      error = np.zeros(time.shape) if error is None else error
      error2 = np.zeros(time2.shape) if error2 is None else error2
  
      # this asume that the first series is the short one
      sserie = pd.DataFrame({"mag": magnitude, "error": error}, index=time)
      lserie = pd.DataFrame({"mag": magnitude2, "error": error2}, index=time2)
  
      # if the second serie is logest then revert
      if len(time) > len(time2):
          sserie, lserie = lserie, sserie
  
      # make the merge
      merged = sserie.join(lserie, how="inner", rsuffix='2')
  
      # recreate columns
      new_time = merged.index.values
      new_mag, new_mag2 = merged.mag.values, merged.mag2.values
      new_error, new_error2 = merged.error.values, merged.error2.values
  
      if len(time) > len(time2):
          new_mag, new_mag2 = new_mag2, new_mag
          new_error, new_error2 = new_error2, new_error
  
      return new_time, new_mag, new_mag2, new_error, new_error2
docs: Synchronizes the light-curves in the two different bands.
  
      Returns
      -------
  
      aligned_time
      aligned_magnitude
      aligned_magnitude2
      aligned_error
      aligned_error2