def to_data_frame(self, answers: List[Answer], queries: List[RegionQuery], level_kind: LevelKind) -> DataFrame:
places = PlacesDataFrameBuilder(level_kind)
geometry = []
for query, answer in _zip_answers(queries, answers):
for feature in answer.features:
places.append_row(query, feature)
geometry.append(self._geo_parse_geometry(feature.boundary))
return _create_geo_data_frame(places.build_dict(), geometry=geometry)
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)
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.min_lon)
self._latmin.append(rect.min_lat)
self._lonmax.append(rect.max_lon)
self._latmax.append(rect.max_lat)
geometry = [RectGeoDataFrame.limit2geometry(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)