rtree/index.py
def insert(self, obj, coordinates):
        """Inserts an item into the index with the given coordinates.

        :param obj: object
            Any object.

        :param coordinates: sequence or array
            This may be an object that satisfies the numpy array
            protocol, providing the index's dimension * 2 coordinate
            pairs representing the `mink` and `maxk` coordinates in
            each dimension defining the bounds of the query window.

        The following example inserts a simple object into the container.
        The coordinate ordering in this instance is the default
        (interleaved=True) ordering::

            >>> from rtree import index
            >>> idx = index.RtreeContainer()
            >>> idx.insert(object(),
            ...            (34.3776829412, 26.7375853734, 49.3776829412,
            ...             41.7375853734))

        """
        try:
            count = self._objects[id(obj)] + 1
        except KeyError:
            count = 1
        self._objects[id(obj)] = (count, obj)
        return super(RtreeContainer, self).insert(id(obj), coordinates, None)
def insert(self, obj, coordinates):
        """Inserts an item into the index with the given coordinates.

        :param obj: object
            Any object.

        :param coordinates: sequence or array
            This may be an object that satisfies the numpy array
            protocol, providing the index's dimension * 2 coordinate
            pairs representing the `mink` and `maxk` coordinates in
            each dimension defining the bounds of the query window.

        The following example inserts a simple object into the container.
        The coordinate ordering in this instance is the default
        (interleaved=True) ordering::

            >>> from rtree import index
            >>> idx = index.RtreeContainer()
            >>> idx.insert(object(),
            ...            (34.3776829412, 26.7375853734, 49.3776829412,
            ...             41.7375853734))

        """
        try:
            count = self._objects[id(obj)] + 1
        except KeyError:
            count = 1
        self._objects[id(obj)] = (count, obj)
        return super(RtreeContainer, self).insert(id(obj), coordinates, None)
def insert ( self , obj , coordinates ) : try : count = self . _objects [ id ( obj ) ] + 1 except KeyError : count = 1 self . _objects [ id ( obj ) ] = ( count , obj ) return super ( RtreeContainer , self ) . insert ( id ( obj ) , coordinates , None )
Inserts an item into the index with the given coordinates.

        :param obj: object
            Any object.

        :param coordinates: sequence or array
            This may be an object that satisfies the numpy array
            protocol, providing the index's dimension * 2 coordinate
            pairs representing the `mink` and `maxk` coordinates in
            each dimension defining the bounds of the query window.

        The following example inserts a simple object into the container.
        The coordinate ordering in this instance is the default
        (interleaved=True) ordering::

            >>> from rtree import index
            >>> idx = index.RtreeContainer()
            >>> idx.insert(object(),
            ...            (34.3776829412, 26.7375853734, 49.3776829412,
            ...             41.7375853734))
Inserts an item into the index with the given coordinates .