Source code for sedona.spark.sql.st_aggregates

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import inspect
import sys
from functools import partial

from pyspark.sql import Column

from sedona.spark.sql.dataframe_api import (
    ColumnOrName,
    call_sedona_function,
    validate_argument_types,
)

_call_aggregate_function = partial(call_sedona_function, "st_aggregates")



[docs]
@validate_argument_types
def ST_Envelope_Aggr(geometry: ColumnOrName) -> Column:
    """Aggregate Function: Get the aggregate envelope of a geometry column.

    :param geometry: Geometry column to aggregate.
    :type geometry: ColumnOrName
    :return: Geometry representing the aggregate envelope of the geometry column.
    :rtype: Column
    """
    return _call_aggregate_function("ST_Envelope_Aggr", geometry)




[docs]
@validate_argument_types
def ST_Intersection_Aggr(geometry: ColumnOrName) -> Column:
    """Aggregate Function: Get the aggregate intersection of a geometry column.

    :param geometry: Geometry column to aggregate.
    :type geometry: ColumnOrName
    :return: Geometry representing the aggregate intersection of the geometry column.
    :rtype: Column
    """
    return _call_aggregate_function("ST_Intersection_Aggr", geometry)




[docs]
@validate_argument_types
def ST_Union_Aggr(geometry: ColumnOrName) -> Column:
    """Aggregate Function: Get the aggregate union of a geometry column.

    :param geometry: Geometry column to aggregate.
    :type geometry: ColumnOrName
    :return: Geometry representing the aggregate union of the geometry column.
    :rtype: Column
    """
    return _call_aggregate_function("ST_Union_Aggr", geometry)



# Automatically populate __all__
__all__ = [
    name
    for name, obj in inspect.getmembers(sys.modules[__name__])
    if inspect.isfunction(obj)
]