docstr: Return legend elements to display the color code for each category.
docstr_tok: ["Return","legend","elements","to","display","the","color","code","for","each","category","."]
code: def get_legend_elements(self):
      """
      Return legend elements to display the color code for each category.
      """
      if not isinstance(self._color_key, dict):
          binned = self.get_ds_data()
          categories = binned.coords[binned.dims[2]].data
          color_dict = dict(zip(categories, self._color_key))
      else:
          color_dict = self._color_key
      return [
          Patch(facecolor=color, edgecolor="none", label=category)
          for category, color in color_dict.items()
      ]
  
imports: import warnings
  from matplotlib.image import _ImageBase
  from matplotlib.patches import Patch
  from matplotlib.transforms import Bbox, TransformedBbox, BboxTransform
  import matplotlib
  import numpy
  from .None import reductions
  from .None import transfer_functions
  from .colors import Sets1to3
  from .core import bypixel, Canvas
label_desc: Use image node_id 4 for calling the CategoricalDSArtist obj's underlying member method code with example usage: obj.get_legend_elements() and returns: unknown