select

The Select Operation

Returns a new DataFrame with only the columns selected by columns.

This can include column groups and nested columns.

See Selecting Columns.

For more information: See select on the documentation website.

This Select 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.select{ length andage }

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

df.select{ colsOf<Double>() }

Parameters

The Select Operation

Returns a new DataFrame with only the columns selected by columns.

This can include column groups and nested columns.

See Selecting Columns.

For more information: See select on the documentation website.

This Select Overload

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

For example:

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

Parameters

The Select Operation

Returns a new DataFrame with only the columns selected by columns.

This can include column groups and nested columns.

See Selecting Columns.

For more information: See select on the documentation website.

This Select Overload

Parameters

The Select Operation

Returns a new DataFrame with only the columns selected by columns.

This can include column groups and nested columns.

See Selecting Columns.

For more information: See select on the documentation website.

This Select Overload

Parameters