Teradata Package for Python Function Reference on VantageCloud Lake - geom_component - 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
- 20.00.00.02
- Published
- September 2024
- Language
- English (United States)
- Last Update
- 2024-10-17
- dita:id
- TeradataPython_FxRef_Lake_2000
- Product Category
- Teradata Vantage
- teradataml.geospatial.geodataframe.GeoDataFrame.geom_component = geom_component(self, position)
- DESCRIPTION:
Returns the geometry of one component member of a composite geometry
type (ST_GeomCollection, ST_MultiPoint, ST_MultiLineString, or
ST_MultiPolygon). The element to be returned is specified by position
with the collection.
PARAMETERS:
position:
Required Argument.
Specifies a value representing the position in the collection of the
geometry to be returned. The position of the first element in the
collection is number 1.
Types: int, str, ColumnExpression
SUPPORTED GEOMETRY TYPES:
ST_GeomCollection, ST_MultiPoint, ST_MultiLineString, and ST_MultiPolygon
RAISES:
TypeError, ValueError, TeradataMlException
RETURNS:
GeoDataFrame with result column containing Geometry values
EXAMPLES:
from teradataml import GeoDataFrame, load_example_data
from teradataml import Point, LineString, Polygon
# Load example data.
load_example_data("geodataframe", "sample_shapes")
# Create a GeoDataFrame.
geodf = GeoDataFrame("sample_shapes")
print(geodf)
# Example 1: Get the geometry component at position 1 in ST_GeometryCollection, a composite geometry type,
# geometries in column 'geom_collections'.
geom_collections = geodf.select(["skey", "geom_collections"])
geom_collections.geom_component(position=1)