snowflake.snowpark.functions.h3_try_polygon_to_cells_strings

snowflake.snowpark.functions.h3_try_polygon_to_cells_strings(geography_polygon: Union[snowflake.snowpark.column.Column, str], target_resolution: Union[snowflake.snowpark.column.Column, str]) → Column[source] (https://github.com/snowflakedb/snowpark-python/blob/v1.48.0/src/snowflake/snowpark/_functions/scalar_functions.py#L1388-L1421)

Returns an array of H3 cell IDs as strings that cover the given geography polygon at the specified resolution. Returns NULL if the input is invalid.

Parameters:

  • geography_polygon (ColumnOrName) – The GEOGRAPHY polygon.

  • target_resolution (ColumnOrName) – The target H3 resolution (0-15).

Returns:

An array of H3 cell IDs as strings, or NULL if the input is invalid.

Return type:

Column

Example::
>>> from snowflake.snowpark.functions import to_geography, lit

>>> df = session.create_dataframe([
...     ['POLYGON((-122.4194 37.7749, -122.4094 37.7749, -122.4094 37.7849, -122.4194 37.7849, -122.4194 37.7749))']
... ], schema=["polygon_wkt"])

>>> df.select(h3_try_polygon_to_cells_strings(to_geography(df["polygon_wkt"]), lit(9))).collect()
[Row(H3_TRY_POLYGON_TO_CELLS_STRINGS(TO_GEOGRAPHY("POLYGON_WKT"), 9)='[\n  "8928308287bffff",\n  "8928308280fffff",\n  "89283082873ffff",\n  "8928308286bffff",\n  "89283082847ffff",\n  "89283082863ffff",\n  "89283082877ffff",\n  "8928308280bffff",\n  "89283082867ffff"\n]')]