code: def to_data_frame(
      self,
      answers: List[Answer],
      queries: List[RegionQuery],
      level_kind: LevelKind,
  ) -> DataFrame:
      assert len(answers) == len(queries)
      places = PlacesDataFrameBuilder(level_kind)
  
      for query, answer in _zip_answers(queries, answers):
          for feature in answer.features:
              rects: List[GeoRect] = self._read_rect(feature)
              for rect in rects:
                  places.append_row(query, feature)
                  self._lonmin.append(rect.start_lon)
                  self._latmin.append(rect.min_lat)
                  self._lonmax.append(rect.end_lon)
                  self._latmax.append(rect.max_lat)
  
      geometry = [
          box(lmt[0], lmt[1], lmt[2], lmt[3])
          for lmt in zip(
              self._lonmin, self._latmin, self._lonmax, self._latmax
          )
      ]
      return _create_geo_data_frame(
          places.build_dict(), geometry=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 RectGeoDataFrame obj's underlying member method code with example usage: obj.to_data_frame(answers, queries, level_kind) and returns: _create_geo_data_frame