code: def standardize_back(xs, offset, scale):
      
      try:
          offset = float(offset)
      except:
          raise ValueError('The argument offset is not None or float.') 
      try:
          scale = float(scale)
      except:
          raise ValueError('The argument scale is not None or float.')
      try:
          xs = np.array(xs, dtype="float64")
      except:
          raise ValueError('The argument xs is not numpy array or similar.')
      return xs*scale + offset
docs: This is function for de-standarization of input series.
  
      **Args:**
  
      * `xs` : standardized input (1 dimensional array)
  
      * `offset` : offset to add (float).
  
      * `scale` : scale (float).
          
      **Returns:**
  
      * `x` : original (destandardised) series