after

Inserts the new column previously specified with insert at the position immediately after the selected column (on the same level).

For more information: See insert on the documentation website.

See Grammar for more details.

See Column Selection DSL.

Examples:

// Insert a new column "age" after the "name" column
df.insert(age).after { name }

// Insert a new column "sum" after the nested "min" column (inside the "stats" column group)
val dfWithSum = df.insert("sum") { a + b }.after { stats.min }

Parameters

Inserts the new column previously specified with insert at the position immediately after the column with the given name.

For more information: See insert on the documentation website.

See Grammar for more details.

See also: SelectingColumns.ColumnNamesApi.

Example

// Insert a new column "age" after the "name" column
df.insert(age).after("name")

Parameters

Moves columns, previously selected with move to the position after the specified column within the DataFrame.

Returns a new DataFrame with updated columns.

See Selecting Columns.

For more information: See move on the documentation website.

This After Overload

Select or express columns using the Columns Selection DSL.

This DSL is initiated by a Columns Selector lambda, which operates in the context of the Columns Selection DSL and expects you to return a SingleColumn or ColumnSet (so, a ColumnsResolver). This is an entity formed by calling any (combination) of the functions in the DSL that is or can be resolved into one or more columns.

The Columns Selection DSL allows using Extension Properties for specifying columns type- and name-safe.

Check out: Columns Selection DSL Grammar

See Column Selectors on the documentation website.

Examples:

df.move { age and weight }.after { surname }
df.move { cols(0..2) }.after { col(3) }

Parameters

Moves columns, previously selected with move to the position after the specified column within the DataFrame.

Returns a new DataFrame with updated columns.

See Selecting Columns.

For more information: See move on the documentation website.

This After Overload

Select single or multiple columns using their names as Strings. (String API).

Examples:

df.move("age", "weight").after("surname")

Parameters

this.after { columnPath }