code: def load_image(cls, filename, height=1, array=False, bounds=None, bare=False, **kwargs):
          
          try:
              from matplotlib import pyplot as plt
          except:
              raise ImportError("RGB.load_image requires matplotlib.")
  
          data = plt.imread(filename)
          if array:  return data
  
          (h, w, _) = data.shape
          if bounds is None:
              f = float(height) / h
              xoffset, yoffset = w*f/2, h*f/2
              bounds=(-xoffset, -yoffset, xoffset, yoffset)
          rgb = cls(data, bounds=bounds, **kwargs)
          if bare: rgb = rgb(plot=dict(xaxis=None, yaxis=None))
          return rgb
docs: Returns an raster element or raw numpy array from a PNG image
          file, using matplotlib.
  
          The specified height determines the bounds of the raster
          object in sheet coordinates: by default the height is 1 unit
          with the width scaled appropriately by the image aspect ratio.
  
          Note that as PNG images are encoded as RGBA, the red component
          maps to the first channel, the green component maps to the
          second component etc. For RGB elements, this mapping is
          trivial but may be important for subclasses e.g. for HSV
          elements.
  
          Setting bare=True will apply options disabling axis labels
          displaying just the bare image. Any additional keyword
          arguments will be passed to the Image object.