code: def generate_plot(self, key, ranges, element=None, is_geo=False):
      self.prev_frame = self.current_frame
      if element is None:
          element = self._get_frame(key)
      else:
          self.current_frame = element
  
      if is_geo and not self._supports_geo:
          raise ValueError(
              f"Elements of type {type(element)} cannot be overlaid "
              "with Tiles elements using the plotly backend"
          )
  
      if element is None:
          return self.handles["fig"]
  
      # Set plot options
      plot_opts = self.lookup_options(element, "plot").options
      self.param.update(
          **{k: v for k, v in plot_opts.items() if k in self.param}
      )
  
      # Get ranges
      ranges = self.compute_ranges(self.hmap, key, ranges)
      ranges = util.match_spec(element, ranges)
  
      # Get style
      self.style = self.lookup_options(element, "style")
      style = self.style[self.cyclic_index]
  
      # Validate style properties are supported in geo mode
      if is_geo:
          unsupported_opts = [
              style_opt
              for style_opt in style
              if style_opt in self.unsupported_geo_style_opts
          ]
          if unsupported_opts:
              raise ValueError(
                  "The following {typ} style options are not supported by the Plotly "
                  "backend when overlaid on Tiles:\n"
                  "    {unsupported_opts}".format(
                      typ=type(element).__name__,
                      unsupported_opts=unsupported_opts,
                  )
              )
  
      # Get data and options and merge them
      data = self.get_data(element, ranges, style, is_geo=is_geo)
      opts = self.graph_options(element, ranges, style, is_geo=is_geo)
  
      components = {
          "traces": [],
          "images": [],
          "annotations": [],
          "shapes": [],
      }
  
      for i, d in enumerate(data):
          # Initialize traces
          datum_components = self.init_graph(
              d, opts, index=i, is_geo=is_geo
          )
  
          # Handle traces
          traces = datum_components.get("traces", [])
          components["traces"].extend(traces)
  
          if i == 0 and traces:
              # Associate element with trace.uid property of the first
              # plotly trace that is used to render the element. This is
              # used to associate the element with the trace during callbacks
              traces[0]["uid"] = self.trace_uid
  
          # Handle images, shapes, annotations
          for k in ["images", "shapes", "annotations"]:
              components[k].extend(datum_components.get(k, []))
  
          # Handle mapbox
          if "mapbox" in datum_components:
              components["mapbox"] = datum_components["mapbox"]
  
      self.handles["components"] = components
  
      # Initialize layout
      layout = self.init_layout(key, element, ranges, is_geo=is_geo)
      for k in ["images", "shapes", "annotations"]:
          layout.setdefault(k, [])
          layout[k].extend(components.get(k, []))
  
      if "mapbox" in components:
          merge_layout(
              layout.setdefault("mapbox", {}), components["mapbox"]
          )
  
      self.handles["layout"] = layout
  
      # Create figure and return it
      layout["autosize"] = self.responsive
      fig = dict(
          data=components["traces"],
          layout=layout,
          config=dict(responsive=self.responsive),
      )
      self.handles["fig"] = fig
  
      self._execute_hooks(element)
      self.drawn = True
  
      return fig
  
imports: import re
  import uuid
  import numpy
  import param
  from ...None import Tiles
  from ...core import util
  from ...core.element import Element
  from ...core.spaces import DynamicMap
  from ...streams import Stream
  from ...util.transform import dim
  from ..plot import GenericElementPlot, GenericOverlayPlot
  from ..util import dim_range_key
  from .plot import PlotlyPlot
  from .util import STYLE_ALIASES, get_colorscale, legend_trace_types, merge_figure, merge_layout
label_desc: Use image node_id 4 for calling the ElementPlot obj's underlying member method code with example usage: obj.generate_plot(key, ranges, element, is_geo) and returns: fig, self