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())