Teradata Package for Python Function Reference on VantageCloud Lake - is_3D - 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.geodataframecolumn.GeoDataFrameColumn.is_3D
- DESCRIPTION:
Tests if a Geometry value has Z coordinate value.
PARAMETERS:
None
SUPPORTED GEOMETRY TYPES:
All Geometry types.
RAISES:
TypeError, ValueError, TeradataMlException
RETURNS:
GeoDataFrameColumn
Resultant column contains:
* 1, if the Geometry contains Z coordinates
* 0, if the Geometry does not contain Z coordinates
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.
gdf = GeoDataFrame("sample_shapes")
gdf = gdf.select(["skey", "polygons", "linestrings"])
gdf
# Example 1: Check if geometries in column 'polygons' is 3D or not.
gdf.assign(res=gdf.polygons.is_3D)
# Example 2: Filter the rows where geometry in column 'polygon' is 3D.
gdf[gdf.polygons.is_3D == 1]