class_docstr: A simple wrapper around Shapely's STRTree.
  
  
  Parameters
  ----------
  geometry : np.array of Shapely geometries
      Geometries from which to build the spatial index.
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docstr: Returns valid predicates for the spatial index.
  
  Returns
  -------
  set
      Set of valid predicates for this spatial index.
  
  Examples
  --------
  >>> from shapely.geometry import Point
  >>> s = geopandas.GeoSeries([Point(0, 0), Point(1, 1)])
  >>> s.sindex.valid_query_predicates  # doctest: +SKIP
  {None, "contains", "contains_properly", "covered_by", "covers", "crosses", "dwithin", "intersects", "overlaps", "touches", "within"}
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code: def valid_query_predicates(self):
      """Returns valid predicates for the spatial index.
  
          Returns
          -------
          set
              Set of valid predicates for this spatial index.
  
          Examples
          --------
          >>> from shapely.geometry import Point
          >>> s = geopandas.GeoSeries([Point(0, 0), Point(1, 1)])
          >>> s.sindex.valid_query_predicates  # doctest: +SKIP
          {None, "contains", "contains_properly", "covered_by", "covers", \
  "crosses", "dwithin", "intersects", "overlaps", "touches", "within"}
          """
      return PREDICATES
  
file_path: geopandas/geopandas/sindex.py
imports: import warnings
  import numpy
  import shapely
  from shapely.geometry.base import BaseGeometry
  from .None import array, geoseries
  from .None import _compat
label_desc: Use image node_id 2 for calling the SpatialIndex obj's underlying member method code with example usage: obj.valid_query_predicates() and returns: PREDICATES