dropLastCols

Drop Last (Cols)

This operation collects all columns from this except the last n into a ColumnSet.

This function operates solely on columns at the top-level.

Any Access APIs can be used as receiver for these functions.

NOTE: To avoid ambiguity, dropLast is called dropLastCols when called on a ColumnGroup.

For more information: See drop(Last)(Cols)(While) on the documentation website.

Check out: Grammar

Examples:

df.select{ cols{ "my" init.name}.dropLast(5) }

df.select{ dropLast(1) }

df.select{ myColumnGroup.dropLastCols(2) }

df.select{ "myColumnGroup".dropLastCols(3) }

Examples for this overload:

df.select{ myColumnGroup.dropLastCols() }

See also:

• drop — drops the first n columns instead.

• dropWhile — drops the first columns while a predicate holds.

• dropLastWhile — drops the last columns while a predicate holds.

• takeLast — keeps only the last n columns.

Parameters

Drop Last (Cols)

This operation collects all columns from this except the last n into a ColumnSet.

This function operates solely on columns at the top-level.

Any Access APIs can be used as receiver for these functions.

NOTE: To avoid ambiguity, dropLast is called dropLastCols when called on a ColumnGroup.

For more information: See drop(Last)(Cols)(While) on the documentation website.

Check out: Grammar

Examples:

df.select{ cols{ "my" init.name}.dropLast(5) }

df.select{ dropLast(1) }

df.select{ myColumnGroup.dropLastCols(2) }

df.select{ "myColumnGroup".dropLastCols(3) }

Examples for this overload:

df.select{ "myColumnGroup".dropLastCols(1) }

See also:

• drop — drops the first n columns instead.

• dropWhile — drops the first columns while a predicate holds.

• dropLastWhile — drops the last columns while a predicate holds.

• takeLast — keeps only the last n columns.

Parameters

Drop Last (Cols)

This operation collects all columns from this except the last n into a ColumnSet.

This function operates solely on columns at the top-level.

Any Access APIs can be used as receiver for these functions.

NOTE: To avoid ambiguity, dropLast is called dropLastCols when called on a ColumnGroup.

For more information: See drop(Last)(Cols)(While) on the documentation website.

Check out: Grammar

Examples:

df.select{ cols{ "my" init.name}.dropLast(5) }

df.select{ dropLast(1) }

df.select{ myColumnGroup.dropLastCols(2) }

df.select{ "myColumnGroup".dropLastCols(3) }

Examples for this overload:

df.select{ "pathTo"["myColumnGroup"].dropLastCols(1) }

See also:

• drop — drops the first n columns instead.

• dropWhile — drops the first columns while a predicate holds.

• dropLastWhile — drops the last columns while a predicate holds.

• takeLast — keeps only the last n columns.

Parameters

Drop Last (Cols)

This operation collects all columns from this except the last n into a ColumnSet.

This function operates solely on columns at the top-level.

Any Access APIs can be used as receiver for these functions.

NOTE: To avoid ambiguity, dropLast is called dropLastCols when called on a ColumnGroup.

For more information: See drop(Last)(Cols)(While) on the documentation website.

Check out: Grammar

Examples:

df.select{ cols{ "my" init.name}.dropLast(5) }

df.select{ dropLast(1) }

df.select{ myColumnGroup.dropLastCols(2) }

df.select{ "myColumnGroup".dropLastCols(3) }

Examples for this overload:

df.select{ DataSchemaType::myColumnGroup.dropLastCols(1) }

See also:

• drop — drops the first n columns instead.

• dropWhile — drops the first columns while a predicate holds.

• dropLastWhile — drops the last columns while a predicate holds.

• takeLast — keeps only the last n columns.

Parameters