reduce#
- pylibcudf.reduce.minmax(Column col) tuple #
Compute the minimum and maximum of a column
For details, see
cudf::minmax
documentation.- Parameters:
- colColumn
The column to compute the minimum and maximum of.
- Returns:
- tuple
A tuple of two Scalars, the first being the minimum and the second being the maximum.
- pylibcudf.reduce.reduce(Column col, Aggregation agg, DataType data_type) Scalar #
Perform a reduction on a column
For details, see
cudf::reduce
documentation.- Parameters:
- colColumn
The column to perform the reduction on.
- aggAggregation
The aggregation to perform.
- data_typeDataType
The data type of the result.
- Returns:
- Scalar
The result of the reduction.
- pylibcudf.reduce.scan(Column col, Aggregation agg, scan_type inclusive) Column #
Perform a scan on a column
For details, see
cudf::scan
documentation.- Parameters:
- colColumn
The column to perform the scan on.
- aggAggregation
The aggregation to perform.
- inclusivescan_type
The type of scan to perform.
- Returns:
- Column
The result of the scan.