AggGroup
AggGroup
returns an aggregator that computes an array of all values within an aggregation group, for each input column.
Syntax
AggGroup(pairs...)
Parameters
Parameter | Type | Description |
---|---|---|
pairs | String... | The source column(s) for the calculations.
|
If an aggregation does not rename the resulting column, the aggregation column will appear in the output table, not the input column. If multiple aggregations on the same column do not rename the resulting columns, an error will result, because the aggregations are trying to create multiple columns with the same name. For example, in table.aggBy([agg.AggSum(“X”), agg.AggAvg(“X”)])
, both the sum and the average aggregators produce column X
, which results in an error.
Returns
An aggregator that computes an array of all values, within an aggregation group, for each input column.
Examples
In this example, AggGroup
returns an array of values of Y
as grouped by X
.
import static io.deephaven.api.agg.Aggregation.AggGroup
source = newTable(
stringCol("X", "A", "B", "A", "C", "B", "A", "B", "B", null),
stringCol("Y", "M", "N", null, "N", "P", "M", null, "P", "M"),
intCol("Number", 55, 76, 20, 130, 230, 50, 73, 137, 214),
)
result = source.aggBy([AggGroup("Y")], "X")
- source
- result
In this example, AggGroup
returns an array of values of Y
(renamed to Z
), as grouped by X
.
import static io.deephaven.api.agg.Aggregation.AggGroup
source = newTable(
stringCol("X", "A", "B", "A", "C", "B", "A", "B", "B", null),
stringCol("Y", "M", "N", null, "N", "P", "M", null, "P", "M"),
intCol("Number", 55, 76, 20, 130, 230, 50, 73, 137, 214),
)
result = source.aggBy([AggGroup("Z = Y")], "X")
- source
- result
In this example, AggGroup
returns an array of values of Y
(renamed to Letters
), and an array of values of Number
(renamed to Numbers
), as grouped by X
.
import static io.deephaven.api.agg.Aggregation.AggGroup
source = newTable(
stringCol("X", "A", "B", "A", "C", "B", "A", "B", "B", null),
stringCol("Y", "M", "N", null, "N", "P", "M", null, "P", "M"),
intCol("Number", 55, 76, 20, 130, 230, 50, 73, 137, 214),
)
result = source.aggBy([AggGroup("Letters = Y", "Numbers = Number")], "X")
- source
- result
In this example, AggGroup
returns an array of values (the Number
column renamed to Numbers
), as grouped by X
and Y
.
import static io.deephaven.api.agg.Aggregation.AggGroup
source = newTable(
stringCol("X", "A", "B", "A", "C", "B", "A", "B", "B", null),
stringCol("Y", "M", "N", null, "N", "P", "M", null, "P", "M"),
intCol("Number", 55, 76, 20, 130, 230, 50, 73, 137, 214),
)
result = source.aggBy([AggGroup("Numbers = Number")], "X", "Y")
- source
- result
In this example, AggGroup
returns an array of values Number
(renamed to Numbers
), and AggMax
returns the maximum Number
integer, as grouped by X
.
import static io.deephaven.api.agg.Aggregation.AggGroup
import static io.deephaven.api.agg.Aggregation.AggMax
source = newTable(
stringCol("X", "A", "B", "A", "C", "B", "A", "B", "B", null),
stringCol("Y", "M", "N", null, "N", "P", "M", null, "P", "M"),
intCol("Number", 55, 76, 20, 130, 230, 50, 73, 137, 214),
)
result = source.aggBy([AggGroup("Numbers = Number"),AggMax("MaxNumber = Number")], "X")
- source
- result