moveToStart

Moves the specified columns to the DataFrame start (on top-level). Returns a new DataFrame with an updated column structure.

This can include column groups and nested columns.

See Selecting Columns.

For more information: See move on the documentation website.

This MoveToStart 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.

For example:

df.moveToStart{ length andage }

df.moveToStart{ cols(1..5) }

df.moveToStart{ colsOf<Double>() }

Parameters

columns

The Columns Selector used to select the columns of this DataFrame to move.


fun <T> DataFrame<T>.moveToStart(insideGroup: Boolean, columns: ColumnsSelector<T, *>): DataFrame<T>

Moves the specified columns to the DataFrame start (on top-level). Returns a new DataFrame with an updated column structure.

This can include column groups and nested columns.

See Selecting Columns.

For more information: See move on the documentation website.

This MoveToStart 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.

For example:

df.moveToStart{ length andage }

df.moveToStart{ cols(1..5) }

df.moveToStart{ colsOf<Double>() }

Parameters

columns

The Columns Selector used to select the columns of this DataFrame to move.

insideGroup

If true, selected columns will be moved to the start remaining inside their group, else they will be moved to the start of the top level.


fun <T> DataFrame<T>.moveToStart(vararg columns: String): DataFrame<T>

Moves the specified columns to the DataFrame start (on top-level). Returns a new DataFrame with an updated column structure.

This can include column groups and nested columns.

See Selecting Columns.

For more information: See move on the documentation website.

This MoveToStart Overload

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

For example:

df.moveToStart("length", "age")

Parameters

columns

The Columns Selector used to select the columns of this DataFrame to move.


fun <T> DataFrame<T>.moveToStart(vararg columns: ColumnReference<*>): DataFrame<T>
fun <T> DataFrame<T>.moveToStart(vararg columns: KProperty<*>): DataFrame<T>

Deprecated

It's recommended to migrate to the String or Extension Properties Access API https://kotlin.github.io/dataframe/apilevels.html