minBy
minBy returns the minimum value for each group. Null values are ignored.
Syntax
table.minBy()
table.minBy(columnNames...)
Parameters
| Parameter | Type | Description |
|---|---|---|
| columnNames | String... | The column(s) by which to group data.
|
| columnNames | ColumnName... | The column(s) by which to group data.
|
| columnNames | Collection<String> | The column(s) by which to group data.
|
Returns
A new table containing the minimum value for each group.
Examples
In this example, minBy returns the minimum value for each column.
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.minBy()
In this example, minBy returns the minimum value, as grouped by X.
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.minBy("X")
In this example, minBy returns the minimum value, as grouped by X and Y.
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.minBy("X", "Y")