code: def graph_options(self, element, ranges, style, **kwargs):
      opts = super().graph_options(element, ranges, style, **kwargs)
      copts = self.get_color_opts(
          element.vdims[0], element, ranges, style
      )
  
      if self.ncontours:
          opts["autocontour"] = False
          opts["ncontours"] = self.ncontours
  
      # Make line width a little wider (default is less than 1)
      opts["line"] = {"width": 1}
  
      # Configure contours
      opts["contours"] = {
          "coloring": "fill" if self.filled else "lines",
          "showlines": style.get("showlines", True),
      }
  
      # Add colorscale
      opts["colorscale"] = copts["colorscale"]
  
      # Add colorbar
      if "colorbar" in copts:
          opts["colorbar"] = copts["colorbar"]
  
      opts["showscale"] = copts.get("showscale", False)
  
      # Add visible
      opts["visible"] = style.get("visible", True)
  
      return opts
  
imports: import param
  from ..mixins import MultiDistributionMixin
  from .chart import ChartPlot
  from .element import ColorbarPlot, ElementPlot
  from .selection import PlotlyOverlaySelectionDisplay
label_desc: Use image node_id 2 for calling the BivariatePlot obj's underlying member method code with example usage: obj.graph_options(element, ranges, style) and returns: opts