Below is a conversation between the user and the assistant. Give a concise name for this chat. Output ONLY the name of the chat (WITHOUT quotes) and NOTHING else.

User: Fix errors and bugs in the given code, without changing its intended functionality. ONLY return the fixed code and nothing else. Enclose the entire code in a single code block.



def plot(self, map=None, color=None, show=True, withMarker=False, **kwargs):
        """Load an interactive map which displays the area on earth.

        Args:
            map= existing `folium` map to build upon
            color= color of the area 
            show= whether to show by default (if False, it can be enabled through Layer Control)
            withMarker= whether to attach a marker to the area centroid

        Existing map objects can be passed, which means this function can be used in a loop (pass output to input again) to plot multiple areas in one map. 
        Warning: Do not use in a loop if the number of area objects is large, instead use the supporting function `areas_to_gdf` which is optimised to return one GeoDataFrame extremely quickly. The map is then directly accessed using `.explore()` 
        """
        
        map = self._make_geodataframe().explore(
            m=map,
            name=self.__properties["Name"],
            color=color,
            show=show,
            min_zoom=2,
            tooltip= True,
            popup= True,
            **kwargs
        )

        if withMarker:
            point= shapely.Point(*self.get_centroid())
            p_gdf= gpd.GeoDataFrame(geometry=[point], crs= self._crs)
            
            # Drop area-related properties to attach to the marker
            temp_p= self.get_properties()
            temp_p.pop("# of vertices")
            temp_p.pop("Area (sq.km)")
            for key in temp_p:
                p_gdf[key] = self.__properties[key]
            
            map= p_gdf.explore(
                m=map,
                name=self.__properties["Name"],
                color="red",
                marker_type= 'marker',
                tooltip=True,
                popup=True,
                **kwargs
                )

        map.fit_bounds(map.get_bounds())  # bound the map
        return map
Assistant: ```python
def plot(self, map=None, color=None, show=True, withMarker=False, **kwargs):
        """Load an interactive map which displays the area on earth.

        Args:
            map= existing `folium` map to build upon
            color= color of the area 
            show= whether to show by default (if False, it can be enabled through Layer Control)
            withMarker= whether to attach a marker to the area centroid

        Existing map objects can be passed, which means this function can be used in a loop (pass output to input again) to plot multiple areas in one map. 
        Warning: Do not use in a loop if the number of area objects is large, instead use the supporting function `areas_to_gdf` which is optimised to return one GeoDataFrame extremely quickly. The map is then directly accessed using `.explore()` 
        """
        
        map = self._make_geodataframe().explore(
            m=map,
            name=self.__properties["Name"],
            color=color,
            show=show,
            min_zoom=2,
            tooltip=True,
            popup=True,
            **kwargs
        )

        if withMarker:
            point = shapely.geometry.Point(*self.get_centroid())
            p_gdf = gpd.GeoDataFrame(geometry=[point], crs=self._crs)
            
            # Drop area-related properties to attach to the marker
            temp_p = self.get_properties()
            temp_p.pop("# of vertices", None)  # Use default value to avoid KeyError
            temp_p.pop("Area (sq.km)", None)  # Use default value to avoid KeyError
            for key in temp_p:
                p_gdf[key] = temp_p[key]  # Fix to get from temp_p instead of self.__properties
            
            map = p_gdf.explore(
                m=map,
                name=self.__properties["Name"],
                color="red",
                marker_type='marker',
       ...