code: def colorize(self, colormap):
          
  
          if self.mode not in ("L", "LA"):
              raise ValueError("Image should be grayscale to colorize")
  
          if self.mode == "LA":
              alpha = self.data.sel(bands=['A'])
          else:
              alpha = None
  
          l_data = self.data.sel(bands=['L'])
  
          def _colorize(l_data, colormap):
              # 'l_data' is (1, rows, cols)
              # 'channels' will be a list of 3 (RGB) or 4 (RGBA) arrays
              channels = colormap.colorize(l_data)
              return np.concatenate(channels, axis=0)
  
          new_data = l_data.data.map_blocks(_colorize, colormap,
                                            chunks=(colormap.colors.shape[1],) + l_data.data.chunks[1:],
                                            dtype=np.float64)
  
          if colormap.colors.shape[1] == 4:
              mode = "RGBA"
          elif alpha is not None:
              new_data = da.concatenate([new_data, alpha.data], axis=0)
              mode = "RGBA"
          else:
              mode = "RGB"
  
          # copy the coordinates so we don't affect the original
          coords = dict(self.data.coords)
          coords['bands'] = list(mode)
          attrs = self.data.attrs
          dims = self.data.dims
          self.data = xr.DataArray(new_data, coords=coords, attrs=attrs, dims=dims)
docs: Colorize the current image using `colormap`.
  
          .. note::
  
              Works only on "L" or "LA" images.