snowflake.snowpark.functions.st_coveredby¶

snowflake.snowpark.functions.st_coveredby(geography_or_geometry_expression_1: Union[snowflake.snowpark.column.Column, str], geography_or_geometry_expression_2: Union[snowflake.snowpark.column.Column, str]) → Column[source] (https://github.com/snowflakedb/snowpark-python/blob/v1.47.0/src/snowflake/snowpark/_functions/scalar_functions.py#L2390-L2417)¶

Returns TRUE if geography_expression_1 is completely covered by geography_expression_2.

Parameters:

• geography_or_geometry_expression_1 (ColumnOrName) – A column or name representing the first geography expression

• geography_or_geometry_expression_2 (ColumnOrName) – A column or name representing the second geography expression

Returns:

A boolean column indicating whether the first geography is covered by the second

Return type:

Column

Examples::

CopyExpand

>>> from snowflake.snowpark.functions import col, to_geography
>>> df = session.create_dataframe([
...     ['POLYGON((0 0, 3 0, 3 3, 0 3, 0 0))', 'POLYGON((1 1, 2 1, 2 2, 1 2, 1 1))'],
...     ['POLYGON((1 1, 2 1, 2 2, 1 2, 1 1))', 'POLYGON((0 0, 3 0, 3 3, 0 3, 0 0))']
... ], schema=["g1", "g2"])
>>> df.select(st_coveredby(to_geography(col("g1")), to_geography(col("g2"))).alias("covered_by")).collect()
[Row(COVERED_BY=False), Row(COVERED_BY=True)]

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