How to use the hvplot.quadmesh function in hvplot

if not cmin:  # if user left blank or initial values are empty
                self.control.style.lower_limit.value = str(round(c_lim_lower, 5))
                self.control.style.upper_limit.value = str(round(c_lim_upper, 5))

            assign_opts = {dim: self.data[dim] for dim in sel_data.dims}
            # Following tasks are happening here:
            # 1. assign_opts: reassignment of coords(if not done result in
            # errors for some of the selections in fields panel)
            # 2. graph_opts: customise the plot according to selections in
            # style and projection(if available)
            # 3. color_range: customise the colormap range according to cmap
            # lower and upper limits
            # 4. active_tools: activate the tools required such as 'wheel_zoom',
            # 'pan'
            graph = sel_data.assign_coords(
                **assign_opts).hvplot.quadmesh(
                **graph_opts).redim.range(**color_range).opts(
                active_tools=['wheel_zoom', 'pan'])

            self.tap_stream.source = graph

            if has_cartopy and is_geo:
                graph = (
                    feature_map * graph
                    if self.kwargs['features'] != ['None'] else graph
                )
                if show_map:
                    graph = getattr(gv.tile_sources, base_map) * graph

            self.create_selectors_players(graph)

# 0,1(min, max) to get a color balance graph
        c_lim_lower, c_lim_upper = (
            (float(cmin), float(cmax)) if cmin and cmax
            else find_cmap_limits(sel_data))

        color_range = {sel_data.name: (c_lim_lower, c_lim_upper)}

        if not cmin:  # if user left blank or initial values are empty
            self.control.style.lower_limit.value = str(round(c_lim_lower, 5))
            self.control.style.upper_limit.value = str(round(c_lim_upper, 5))

        if use_all_data:  # do the selection later
            sel_data = sel_data.sel(**selection, drop=True)

        assign_opts = {dim: self.data[dim] for dim in sel_data.dims}
        graph = sel_data.assign_coords(
            **assign_opts).hvplot.quadmesh(**graph_opts).redim.range(
            **color_range).opts(active_tools=['wheel_zoom', 'pan'])
        self.graph = graph
        if len(self.data[self.var].dims) > 2 and self.kwargs['extract along']:
            self.tap_stream.source = graph
            self.taps_graph = hv.DynamicMap(
                self.create_taps_graph,
                streams=[self.tap_stream, self.clear_points])
            self.output[0] = self.graph * self.taps_graph
            self.clear_series_button.disabled = False
        else:
            self.output[0] = self.graph
            self.clear_series_button.disabled = True