code: def points_in_spatial_window(
      points: GeoSeries, min_x, max_x, min_y, max_y
  ):
      """Return only the subset of coordinates that fall within a
      rectangular window.
  
      A point `(x, y)` is inside the query window if and only if
      ``min_x < x < max_x AND min_y < y < max_y``
  
      The window is specified by minimum and maximum x and y
      coordinates.
  
      Parameters
      ----------
      points: GeoSeries
          A geoseries of points
      min_x: float
          lower x-coordinate of the query window
      max_x: float
          upper x-coordinate of the query window
      min_y: float
          lower y-coordinate of the query window
      max_y: float
          upper y-coordinate of the query window
  
      Returns
      -------
      result : GeoSeries
          subset of `points` above that fall within the window
  
      Notes
      -----
      * Swaps ``min_x`` and ``max_x`` if ``min_x > max_x``
      * Swaps ``min_y`` and ``max_y`` if ``min_y > max_y``
      """
  
      if len(points) == 0:
          return GeoSeries([])
  
      if not contains_only_points(points):
          raise ValueError("GeoSeries must contain only points.")
  
      xs = as_column(points.points.x)
      ys = as_column(points.points.y)
  
      res_xy = DataFrame._from_data(
          *points_in_range.points_in_range(
              min_x, max_x, min_y, max_y, xs, ys
          )
      ).interleave_columns()
      return GeoSeries.from_points_xy(res_xy)
  
imports: from cudf import DataFrame
  from cudf.core.column import as_column
  from cuspatial._lib import points_in_range
  from cuspatial.core.geoseries import GeoSeries
  from cuspatial.utils.column_utils import contains_only_points
label_desc: Use image node_id 1 for calling a global function with example usage: points_in_spatial_window(points, min_x, max_x, min_y, max_y) and returns: GeoSeries, GeoSeries