code: def normalize(self, mode="max", value=1):
          
          if mode.lower() == "sum":
              factor = np.sum(self.y, axis=0)
          elif mode.lower() == "max":
              factor = np.max(self.y, axis=0)
          else:
              raise ValueError("Unsupported normalization mode %s!" % mode)
  
          self.y /= factor / value
docs: Normalize the spectrum with respect to the sum of intensity
  
          Args:
              mode (str): Normalization mode. Supported modes are "max" (set the
                  max y value to value, e.g., in XRD patterns), "sum" (set the
                  sum of y to a value, i.e., like a probability density).
              value (float): Value to normalize to. Defaults to 1.