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Version: Java (Groovy)

AggGroup

AggGroup returns an aggregator that computes an array of all values within an aggregation group, for each input column.

Syntax

AggGroup(pairs...)

Parameters

ParameterTypeDescription
pairsString...

The source column(s) for the calculations.

  • "X" will output an array of all values in the X column for each group.
  • "Y = X" will output an array of all values in the X column for each group and rename it to Y.
  • "X, A = B" will output an array of all values in the X column for each group and an array of all values in the B value column renaming it to A.
caution

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")

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")

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")

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")

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")