class_docstr: The given image is used to draw the face of the patch. Internally,
  it uses BboxImage whose clippath set to the path of the patch.
  
  FIXME : The result is currently dpi dependent.
class_docstr_tok: ["The","given","image","is","used","to","draw","the","face","of","the","patch",".","Internally",",","it","uses","BboxImage","whose","clippath","set","to","the","path","of","the","patch",".","FIXME",":","The","result","is","currently","dpi","dependent","."]
docstr: Simply ignore facecolor.
docstr_tok: ["Simply","ignore","facecolor","."]
code: def set_facecolor(self, color):
      """Simply ignore facecolor."""
      super().set_facecolor("none")
  
file_path: matplotlib/galleries/examples/text_labels_and_annotations/demo_text_path.py
imports: import matplotlib.pyplot
  import numpy
  from matplotlib.cbook import get_sample_data
  from matplotlib.image import BboxImage
  from matplotlib.offsetbox import AnchoredOffsetbox, AnnotationBbox, AuxTransformBox
  from matplotlib.patches import PathPatch, Shadow
  from matplotlib.text import TextPath
  from matplotlib.transforms import IdentityTransform
label_desc: Use image node_id 2 for calling the PathClippedImagePatch obj's underlying member method code with example usage: obj.set_facecolor(color) without return types