Teradata Package for Python Function Reference on VantageCloud Lake - is_simple - 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.is_simple
DESCRIPTION:
    Tests if a Geometry value has no anomalous geometric points, such as
    self intersection tangency.
 
PARAMETERS:
    None
 
SUPPORTED GEOMETRY TYPES:
    All Geometry types.
 
RAISES:
    TypeError, ValueError, TeradataMlException
 
RETURNS:
    GeoDataFrameColumn
    Resultant column contains:
        * 1, if the geometry is simple, with no anomalous points
        * 0, if the geometry is not simple
 
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 simple or not.
    gdf.assign(res=gdf.polygons.is_simple)
 
    # Example 2: Filter the rows where geometry in column 'polygons' is not simple.
    gdf[gdf.polygons.is_simple == 0]