code: def interpolate(values, color_map=None, dtype=np.uint8):
      
  
      # get a color interpolation function
      if color_map is None:
          cmap = linear_color_map
      else:
          from matplotlib.pyplot import get_cmap
          cmap = get_cmap(color_map)
  
      # make input always float
      values = np.asanyarray(values, dtype=np.float64).ravel()
      # scale values to 0.0 - 1.0 and get colors
      colors = cmap((values - values.min()) / values.ptp())
      # convert to 0-255 RGBA
      rgba = to_rgba(colors, dtype=dtype)
  
      return rgba
docs: Given a 1D list of values, return interpolated colors
      for the range.
  
      Parameters
      ---------------
      values : (n, ) float
        Values to be interpolated over
      color_map : None, or str
        Key to a colormap contained in:
        matplotlib.pyplot.colormaps()
        e.g: 'viridis'
  
      Returns
      -------------
      interpolated : (n, 4) dtype
        Interpolated RGBA colors