AggStd
AggStd
returns an aggregator that computes the standard deviation of values, within an aggregation group, for each input column.
Syntax
AggStd(pairs...)
Parameters
Parameter | Type | Description |
---|---|---|
pairs | String... | The input/output column name pairs.
|
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 the standard deviation of values, within an aggregation group, for each input column.
Examples
In this example, AggStd
returns the standard deviation of values of Number
as grouped by X
.
import static io.deephaven.api.agg.Aggregation.AggStd
source = newTable(
stringCol("X", "A", "B", "A", "C", "B", "A", "B", "B", "C"),
stringCol("Y", "M", "N", "O", "N", "P", "M", "O", "P", "M"),
intCol("Number", 55, 76, 20, 130, 230, 50, 73, 137, 214),
)
result = source.aggBy([AggStd("Number")], "X")
- source
- result
In this example, AggStd
returns the standard deviation of values of Number
(renamed to Std
), as grouped by X
.
import static io.deephaven.api.agg.Aggregation.AggStd
source = newTable(
stringCol("X", "A", "B", "A", "C", "B", "A", "B", "B", "C"),
stringCol("Y", "M", "N", "O", "N", "P", "M", "O", "P", "M"),
intCol("Number", 55, 76, 20, 130, 230, 50, 73, 137, 214),
)
result = source.aggBy([AggStd("Std = Number")], "X")
- source
- result
In this example, AggStd
returns the standard deviation of values of Number
(renamed to Std
), as grouped by X
and Y
.
import static io.deephaven.api.agg.Aggregation.AggStd
source = newTable(
stringCol("X", "A", "B", "A", "C", "B", "A", "B", "B", "C"),
stringCol("Y", "M", "N", "O", "N", "P", "M", "O", "P", "M"),
intCol("Number", 55, 76, 20, 130, 230, 50, 73, 137, 214),
)
result = source.aggBy([AggStd("Std = Number")], "X", "Y")
- source
- result
In this example, AggFirst
returns the standard deviation of values of Number
, and AggMed
returns the median value of Number
, as grouped by X
.
import static io.deephaven.api.agg.Aggregation.AggStd
import static io.deephaven.api.agg.Aggregation.AggMed
source = newTable(
stringCol("X", "A", "B", "A", "C", "B", "A", "B", "B", "C"),
stringCol("Y", "M", "P", "O", "N", "P", "M", "O", "P", "N"),
intCol("Number", 55, 76, 20, 130, 230, 50, 73, 137, 214),
)
result = source.aggBy([AggStd("Std = Number"),AggMed("MedNumber = Number")], "X")
- source
- result