code: def to_data_frame(
      self,
      answers: List[Answer],
      queries: List[RegionQuery],
      level_kind: LevelKind,
  ) -> DataFrame:
      places = PlacesDataFrameBuilder(level_kind)
  
      for query, answer in _zip_answers(queries, answers):
          for feature in answer.features:
              places.append_row(query, feature)
              self._lons.append(feature.centroid.lon)
              self._lats.append(feature.centroid.lat)
  
      geometry = [
          ShapelyPoint(pnt[0], pnt[1])
          for pnt in zip(self._lons, self._lats)
      ]
      return _create_geo_data_frame(places.build_dict(), geometry)
  
imports: from typing import List
  import shapely
  from geopandas import GeoDataFrame
  from pandas import DataFrame
  from shapely.geometry import box
  from lets_plot.geo_data import PlacesDataFrameBuilder, abstractmethod
  from lets_plot.geo_data.geocodes import _zip_answers
  from lets_plot.geo_data.gis.request import RegionQuery, LevelKind
  from lets_plot.geo_data.gis.response import Answer, GeocodedFeature, GeoRect, Boundary, Multipolygon, Polygon, GeoPoint
label_desc: Use image node_id 2 for calling the CentroidsGeoDataFrame obj's underlying member method code with example usage: obj.to_data_frame(answers, queries, level_kind) and returns: _create_geo_data_frame