Teradata Package for Python Function Reference on VantageCloud Lake - num_interior_ring - Teradata Package for Python - Look here for syntax, methods and examples for the functions included in the Teradata Package for Python.

Teradata® Package for Python Function Reference on VantageCloud Lake

Deployment
VantageCloud
Edition
Lake
Product
Teradata Package for Python
Release Number
20.00.00.03
Published
December 2024
ft:locale
en-US
ft:lastEdition
2024-12-19
dita:id
TeradataPython_FxRef_Lake_2000
Product Category
Teradata Vantage
teradataml.geospatial.geodataframecolumn.GeoDataFrameColumn.num_interior_ring = num_interior_ring(self)
DESCRIPTION:
    Returns the number of interior rings of a Geometry type that represents
    an ST_Polygon value.
 
PARAMETERS:
    None
 
SUPPORTED GEOMETRY TYPES:
    ST_Polygon
 
RAISES:
    TypeError, ValueError, TeradataMlException
 
RETURNS:
    GeoDataFrameColumn
 
EXAMPLES:
    from teradataml import GeoDataFrame, load_example_data
    from teradataml import Point, LineString, Polygon, GeometryCollection
    # Load example data.
    load_example_data("geodataframe", "sample_shapes")
    # Create a GeoDataFrame.
    geodf = GeoDataFrame("sample_shapes")
    print(geodf)
 
    # Example 1: Get the number of interior rings of ST_Polygon geometries in column 'polygons'.
    # Let's select only few columns from GeoDataFrame and rows containing ST_Polygon geometries only.
    pols = geodf.select(["skey", "polygons"])[geodf.polygons.geom_type == "ST_Polygon"]
    pols.assign(res = pols.polygons.num_interior_ring())