Teradata Package for Python Function Reference | 20.00 - num_geometry - 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 - 20.00

Deployment
VantageCloud
VantageCore
Edition
Enterprise
IntelliFlex
VMware
Product
Teradata Package for Python
Release Number
20.00
Published
March 2024
Language
English (United States)
Last Update
2024-04-10
dita:id
TeradataPython_FxRef_Enterprise_2000
Product Category
Teradata Vantage
teradataml.geospatial.geodataframe.GeoDataFrame.num_geometry = num_geometry(self)
DESCRIPTION:
    Returns the number of distinct geometries that constitute a composite
    geometry type (ST_GeomCollection, ST_MultiPoint, ST_MultiLineString, or
    ST_MultiPolygon).
 
PARAMETERS:
    None
 
SUPPORTED GEOMETRY TYPES:
    ST_GeomCollection, ST_MultiPoint, ST_MultiLineString, and ST_MultiPolygon
 
RAISES:
    TypeError, ValueError, TeradataMlException
 
RETURNS:
    GeoDataFrame
 
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 number of distinct geometries that constitute the composite geometry type
    #            ST_GeometryCollection in column 'geom_collections'.
    # Let's select only few columns from GeoDataFrame.
    geom_collections = geodf.select(["skey", "geom_collections"])[geodf.skey.isin([1001, 1004, 1005])]
    geom_collections.num_geometry()